{"id":1404,"date":"2024-11-13T15:22:09","date_gmt":"2024-11-13T15:22:09","guid":{"rendered":"https:\/\/crp.trb.org\/acrpwebresource18\/key-terminology\/"},"modified":"2024-11-13T15:47:16","modified_gmt":"2024-11-13T15:47:16","slug":"key-terminology","status":"publish","type":"page","link":"https:\/\/crp.trb.org\/acrpwebresource18\/key-terminology\/","title":{"rendered":"Key Terminology"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"1404\" class=\"elementor elementor-1404\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6c50ae5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6c50ae5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-10dc5759\" data-id=\"10dc5759\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7bed614 elementor-widget elementor-widget-heading\" data-id=\"7bed614\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-xl\">Data Analytics Key Terminology<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-384d4ffe elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"384d4ffe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a04f89 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"1a04f89\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none;\"><ul style=\"font-weight: 400;\"><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Advanced Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Automated (or semi-automated) statistical techniques or logic-based methods for analyzing data to discover underlying patterns, make predictions, or generate recommendations (e.g., sentiment analysis, graph analysis, multivariate statistics, machine learning, neural networks).&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/advanced-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Advanced Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: Automated (or semi-automated) statistical techniques or logic-based methods for analyzing data to discover underlying patterns, make predictions, or generate recommendations (e.g., <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Sentiment Analysis&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;Analysis procedure for &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;determining&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; whether text is positive, negative&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; or neutral&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/sentiment-analysis\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>sentiment analysis<\/a>, graph analysis, multivariate statistics, machine learning, neural networks).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Aggregate Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Data or information combined from multiple observations, series, or sources.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/aggregate-data\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Aggregate Data<\/a><\/i><\/strong><span data-contrast=\"auto\">: Data or information combined from multiple observations, series, or sources.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Agile Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW67952562 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW67952562 BCX0&amp;quot;&amp;gt;Iterative approach to developing analytics solutions rapidly based on frequent feedback from end-users to increase value for stakeholders.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/agile-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Agile Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: Iterative approach to developing <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> solutions rapidly based on frequent feedback from end-users to increase value for stakeholders. <\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"4\" data-aria-level=\"1\"><strong><i>Airport Operational Database<\/i> <i>(AODB)<\/i><\/strong><span data-contrast=\"auto\">:<\/span> The AODB is the &ldquo;airport information center&rdquo; that serves as the central database or repository for all operative systems and provides all flight-related data accurately and efficiently in a real-time environment.&nbsp;&nbsp;<\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"5\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (e.g., data\/text mining, visualization, cluster analysis, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>forecasting<\/a>).<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"6\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics Platform&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW102067383 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW102067383 BCX0&amp;quot;&amp;gt;Full-featured technology solution designed to join different tools and analytics systems together with an engine to execute, a database or repository to store and manage the data, data mining processes, and techniques and mechanisms for obtaining and preparing data that are not stored.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics-platform\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Analytics Platform<\/a><\/i><\/strong><span data-contrast=\"auto\">: Full-featured technology solution designed to join different tools and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> systems together with an engine to execute, a database or repository to store and manage the data, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Mining&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42405903 BCX0&amp;quot;&amp;gt;A family of procedures and techniques for extracting information and knowledge from large databases and applying the extracted knowledge to make data-based decisions (e.g., clustering, classification, regression, association rules)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42405903 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-mining\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data mining<\/a> processes, and techniques and mechanisms for obtaining and preparing data that are not stored. <\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"7\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Application Programming Interface (API)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW108482436 BCX0&amp;quot;&amp;gt;S&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW108482436 BCX0&amp;quot;&amp;gt;et of defined rules that enable different applications to communicate with each other.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/application-programming-interface-api\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Application Programming Interface (API)<\/a><\/i><\/strong><span data-contrast=\"auto\">: Set of defined rules that enable different applications to communicate with each other.<\/span><i><span data-contrast=\"auto\">&nbsp;<\/span><\/i><span data-ccp-props='{\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"8\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Architecture&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;In reference to computers, software, or networks, the overall design of the computing system and the logical and physical interrelationships between its components. The architecture specifies the hardware, software, and access methods and protocols used throughout the system.&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/architecture\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Architecture<\/a><\/i><\/strong><span data-contrast=\"auto\">: In reference to computers, software or networks, the overall design of the computing system and the logical and physical interrelationships between its components. The <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Architecture&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;In reference to computers, software, or networks, the overall design of the computing system and the logical and physical interrelationships between its components. The architecture specifies the hardware, software, and access methods and protocols used throughout the system.&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/architecture\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>architecture<\/a> specifies the hardware, software, and access methods and protocols used throughout the system.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"9\" data-aria-level=\"1\"><strong><i>Artificial Intelligence<\/i><\/strong><span data-contrast=\"auto\"><strong> (AI)<\/strong>: Automated computational algorithms based on mathematical, statistical, and logic-based techniques, trained on very large amounts of data and used to interpret events, support and automate decisions, and recommend actions based on model outputs (e.g., machine learning, neural networks, deep learning, natural language processing).&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"10\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Big Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;High volume, high velocity&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; and high variety information assets that require cost-effective, innovative forms of information processing to &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;identify&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; insights and inform decision-making.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/big-data\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Big Data<\/a><\/i><\/strong><span data-contrast=\"auto\">: High volume, high velocity, and high variety information assets that require cost-effective, innovative forms of information processing to identify insights and inform decision-making.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"11\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Big Data Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt;Set of procedures, tools, and techniques for analyzing &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt;very large&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt; datasets to enable enhanced insight, decision-making, and process automation for high value&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt; and&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW104606164 BCX0&amp;quot;&amp;gt; high veracity.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/big-data-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Big Data Analytics<\/a><\/strong>:<\/span><\/i><span data-contrast=\"auto\"> Set of procedures, tools, and techniques for analyzing very large datasets to enable enhanced insight, decision-making, and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Process Automation&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;The use of software and technologies to automate analytics processes and functions to accomplish defined business goals, such as ingesting, processing, and storing data; automatically updating reporting dashboards; and using automated statistical, machine learning, or artificial intelligence models.&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/process-automation\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>process automation<\/a> for high value and high veracity.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"12\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Business Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt;S&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt;olutions used to build analysis models and simulations to create scenarios, understand &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt;events&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt; and predict future states&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt; (e.g.,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt; data mining, statistics, predictive analytics&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW57174764 BCX0&amp;quot;&amp;gt;).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/business-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Business Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: Solutions used to build analysis models and simulations to create scenarios, understand events, and predict future states (e.g., <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Mining&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42405903 BCX0&amp;quot;&amp;gt;A family of procedures and techniques for extracting information and knowledge from large databases and applying the extracted knowledge to make data-based decisions (e.g., clustering, classification, regression, association rules)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42405903 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-mining\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data mining<\/a>, statistics, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Predictive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;Advanced analytics procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, forecasting, and classification)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/predictive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>predictive analytics<\/a>).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"13\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Classification Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW90987019 BCX0&amp;quot;&amp;gt;Models for evaluating or predicting categorical target variable outcomes&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW90987019 BCX0&amp;quot;&amp;gt;.&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/classification-models\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Classification Models<\/a><\/i><\/strong><span data-contrast=\"auto\">: Models for evaluating or predicting categorical target variable outcomes.&nbsp;&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"14\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Cloud-based Computing&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW75896740 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW75896740 BCX0&amp;quot;&amp;gt;Scalable and elastic IT-enabled computing capabilities for delivering shared content to multiple end-users simultaneously through internet service technologies.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/cloud-based-computing\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Cloud-Based Computing<\/a><\/i><\/strong><span data-contrast=\"auto\">: Scalable and elastic IT-enabled computing capabilities for delivering shared content to multiple end-users simultaneously through internet service technologies.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"15\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Cluster Analysis or Clustering&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW182355697 BCX0&amp;quot;&amp;gt;Statistical techniques for grouping a set of objects, observations, or data that are similar by group (i.e., cluster) to &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW182355697 BCX0&amp;quot;&amp;gt;identify&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW182355697 BCX0&amp;quot;&amp;gt; natural patterns of grouping in the data.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/cluster-analysis-or-clustering\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Cluster Analysis or Clustering<\/a><\/i><\/strong><span data-contrast=\"auto\">: Statistical techniques for grouping a set of objects, observations, or data that are similar by group (i.e., cluster) to identify natural patterns of grouping in the data.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"16\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Dashboards&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Reporting mechanisms that aggregate and visually display data and&nbsp;&amp;lt;span class=&amp;quot;&amp;quot; role=&amp;quot;link&amp;quot; data-gt-translate-attributes=&amp;quot;[{&amp;amp;quot;attribute&amp;amp;quot;:&amp;amp;quot;data-cmtooltip&amp;amp;quot;, &amp;amp;quot;format&amp;amp;quot;:&amp;amp;quot;html&amp;amp;quot;}]&amp;quot;&amp;gt;key performance indicators (KPIs)&amp;lt;\/span&amp;gt;&nbsp;to end-users as charts and graphs to indicate progress toward pre-defined goals.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/dashboards\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Dashboards<\/a><\/i><\/strong><span data-contrast=\"auto\">: Reporting mechanisms that aggregate and visually display data and key performance indicators to end-users as charts and graphs to indicate progress toward pre-defined goals. <\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"17\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Governance&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW9709959 BCX0&amp;quot;&amp;gt;Specification of decision rights and an accountability framework to ensure the &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW9709959 BCX0&amp;quot;&amp;gt;appropriate behavior&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW9709959 BCX0&amp;quot;&amp;gt; in the valuation, creation, consumption, and control of data and analytics.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-governance\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Governance<\/a><\/i><\/strong><span data-contrast=\"auto\">: Specification of decision rights and an accountability framework to ensure the appropriate behavior in the valuation, creation, consumption, and control of data and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>.&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"18\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Integration&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW6387947 BCX0&amp;quot;&amp;gt;Practices, techniques&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW6387947 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW6387947 BCX0&amp;quot;&amp;gt; and tools for achieving consistent access and delivery of data across subject areas and data structure types to meet requirements of applications and processes.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-integration\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Integration<\/a><\/i><\/strong><span data-contrast=\"auto\">: Practices, techniques, and tools for achieving consistent access and delivery of data across subject areas and data structure types to meet requirements of applications and processes.&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"19\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Lake&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt;Collection of storage instances of various data assets that are stored in a near-exact (or exact) copy of the source format, in addition to the &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt;originating&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW164549948 BCX0&amp;quot;&amp;gt; data stores.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-lake\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Lake<\/a><\/i><\/strong><span data-contrast=\"auto\">: Collection of storage instances of various data assets that are stored in a near-exact (or exact) copy of the source format, in addition to the originating data stores.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"20\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Literacy&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW110990173 BCX0&amp;quot;&amp;gt;Ability to read, write&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW110990173 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW110990173 BCX0&amp;quot;&amp;gt; and communicate data in context (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW110990173 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW110990173 BCX0&amp;quot;&amp;gt;data sources and constructs, analytical methods and techniques applied) and describe use-case applications and outcomes.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-literacy\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Literacy<\/a><\/i><\/strong><span data-contrast=\"auto\">: Ability to read, write, and communicate data in context (e.g., data sources and constructs, analytical methods and techniques applied) and describe use-case applications and outcomes.&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"21\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Mining&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42405903 BCX0&amp;quot;&amp;gt;A family of procedures and techniques for extracting information and knowledge from large databases and applying the extracted knowledge to make data-based decisions (e.g., clustering, classification, regression, association rules)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42405903 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-mining\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Mining<\/a><\/i><\/strong><span data-contrast=\"auto\">: A family of procedures and techniques for extracting information and knowledge from large databases and applying the extracted knowledge to make data-based decisions (e.g., clustering, classification, regression, association rules).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"22\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Science&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;A rapidly evolving field that uses a combination of methods and principles from statistics and computer science to work with and draw insights from data (e.g., statistics and machine learning&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt; unsupervised and supervised models&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt; clustering, classification, regression).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-science\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Science<\/a><\/i><\/strong><span data-contrast=\"auto\">: A rapidly evolving field that uses a combination of methods and principles from statistics and computer science to work with and draw insights from data (e.g., statistics and machine learning, unsupervised and supervised models, clustering, classification, regression).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"23\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Visualization&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW214414294 BCX0&amp;quot;&amp;gt;Procedures, techniques&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW214414294 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW214414294 BCX0&amp;quot;&amp;gt; and tools for exploring and visualizing data in plots and graphs (e.g., boxplots, histograms, bar charts, line graphs, scatterplots, network graphs)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW214414294 BCX0&amp;quot;&amp;gt;.&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-visualization\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Visualization<\/a><\/strong><\/span><\/i><span data-contrast=\"auto\">: Procedures, techniques, and tools for exploring and visualizing data in plots and graphs (e.g., boxplots, histograms, bar charts, line graphs, scatterplots, network graphs).&nbsp; <\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"24\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Warehouse&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW102996774 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW102996774 BCX0&amp;quot;&amp;gt;Storage architecture designed to hold data extracted from transaction systems, operational data stores, and external sources. Combines the data in an aggregate, summary form suitable for enterprise-wide data analysis and reporting for predefined business needs.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-warehouse\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Data Warehouse<\/a><\/i><\/strong><span data-contrast=\"auto\">: <span class=\"TextRun SCXW102996774 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW102996774 BCX0\">Storage <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Architecture&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;In reference to computers, software, or networks, the overall design of the computing system and the logical and physical interrelationships between its components. The architecture specifies the hardware, software, and access methods and protocols used throughout the system.&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/architecture\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>architecture<\/a> designed to hold data extracted from transaction systems, operational data stores, and external sources. Combines the data in an aggregate, summary form suitable for enterprise-wide data analysis and reporting for predefined business needs.<\/span><\/span><\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"25\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Descriptive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW195113695 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195113695 BCX0&amp;quot;&amp;gt;Examination (usually manually performed) of data or content characterized by traditional data visualizations (e.g., pie charts, bar charts, line graphs, tables, generated narratives).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/descriptive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Descriptive Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: Examination (usually manually performed) of data or content&nbsp; characterized by traditional data visualizations (e.g., pie charts, bar charts, line graphs, tables, generated narratives).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"26\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Digitization&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;The process of changing an image, information, or process from an analog form to digital format (i.e., encoded numerically with ones and zeros), without substantially altering the content of the original image, document, or process.&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/digitization\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Digitization<\/a><\/i><\/strong><span data-contrast=\"auto\">: The process of changing an image, information, or process from an analog form to digital format (i.e., encoded numerically with ones and zeros), without substantially altering the content of the original image, document, or process.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"27\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Deep Learning Model&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW98948904 BCX0&amp;quot;&amp;gt;Automated computational algorithms that consist of large multi-layer (artificial) neural networks, used for machine learning tasks with better generalization from small data and better scaling to big data and computer budgets&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW98948904 BCX0&amp;quot;&amp;gt;.&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/deep-learning-model\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Deep Learning Model<\/a><\/i><\/strong><span data-contrast=\"auto\">: Automated computational algorithms that consist of large multi-layer (artificial) neural networks, used for machine learning tasks with better generalization from small data and better scaling to <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Big Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;High volume, high velocity&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; and high variety information assets that require cost-effective, innovative forms of information processing to &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt;identify&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW195689114 BCX0&amp;quot;&amp;gt; insights and inform decision-making.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/big-data\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>big data<\/a> and computer budgets.&nbsp; <\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"28\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Forecasting<\/a><\/strong>:<\/span><\/i><span data-contrast=\"auto\"> <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Predictive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;Advanced analytics procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, forecasting, and classification)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/predictive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Predictive analytics<\/a> technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"29\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Key Performance Indicators (KPIs)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW84769041 BCX0&amp;quot;&amp;gt;High-level metrics or measures of system output, traffic&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW84769041 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW84769041 BCX0&amp;quot;&amp;gt; or other usage, simplified for gathering and review on a weekly, monthly&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW84769041 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW84769041 BCX0&amp;quot;&amp;gt; or quarterly basis.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/key-performance-indicators-kpis\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Key Performance Indicators (KPIs)<\/a><\/i><\/strong><span data-contrast=\"auto\">: High-level metrics or measures of system output, traffic, or other usage, simplified for gathering and review on a weekly, monthly, or quarterly basis.&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"30\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Light Detection and Ranging (LIDAR)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW30958994 BCX0&amp;quot;&amp;gt;R&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW30958994 BCX0&amp;quot;&amp;gt;emote sensing method that emits and captures light in the form of a pulsed laser to measure ranges (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW30958994 BCX0&amp;quot;&amp;gt;variable&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW30958994 BCX0&amp;quot;&amp;gt;&nbsp;distances).&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/light-detection-and-ranging-lidar\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Light Detection and Ranging (LIDAR)<\/a><\/strong>:<\/span><\/i><span data-contrast=\"auto\"> Remote sensing method that emits and captures light in the form of a pulsed laser to measure ranges (variable distances). <\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"31\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Machine Learning (ML)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW86997922 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW86997922 BCX0&amp;quot;&amp;gt;Advanced computational algorithms based on mathematical or statistical models, used for both supervised learning tasks (e.g., classification, regression) and unsupervised learning tasks (e.g., clustering, dimension reduction). ML models are trained on a subset of data (training set) and then model performance is tested on previously unseen data (test set).&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/machine-learning-ml\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Machine Learning (ML)<\/a><\/i><\/strong><span data-contrast=\"auto\">: Advanced computational algorithms based on mathematical or statistical models, used for both <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Supervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;A machine learning approach where a computational model is trained on human-labeled data to make predictions about a target variable that can be categorical (for classification tasks) or continuous (for regression tasks). The model is evaluated using performance metrics&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/supervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>supervised learning<\/a> tasks (e.g., classification, regression) and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Unsupervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;Computational approach &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;used to discover natural groupings or categories among observations in un&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;labeled data&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt; by association (i.e., clustering).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/unsupervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>unsupervised learning<\/a> tasks (e.g., clustering, dimension reduction). ML models are trained on a subset of data (training set) and then model performance is tested on previously unseen data (test set).&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"32\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Metadata&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW89001733 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;I&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;nformation &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;describing the characteristics of data, including&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt; structural metadata describing data structures (e.g., data format, syntax, semantics) and descriptive metadata describing data contents (e.g., information security labels).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW89001733 BCX0&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/metadata\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Metadata<\/a><\/strong>:<\/span><\/i> <span data-contrast=\"auto\">Information describing the characteristics of data, including structural <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Metadata&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW89001733 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;I&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;nformation &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;describing the characteristics of data, including&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt; structural metadata describing data structures (e.g., data format, syntax, semantics) and descriptive metadata describing data contents (e.g., information security labels).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW89001733 BCX0&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/metadata\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>metadata<\/a> describing data structures (e.g., data format, syntax, semantics) and descriptive <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Metadata&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW89001733 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;I&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;nformation &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt;describing the characteristics of data, including&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89001733 BCX0&amp;quot;&amp;gt; structural metadata describing data structures (e.g., data format, syntax, semantics) and descriptive metadata describing data contents (e.g., information security labels).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW89001733 BCX0&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/metadata\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>metadata<\/a> describing data contents (e.g., information security labels).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"33\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Natural Language Processing (NLP)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW137998164 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW137998164 BCX0&amp;quot;&amp;gt;An interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, and technical methods and algorithms for translating text or audio speech into encoded, structured information.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/natural-language-processing-nlp\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Natural Language Processing (NLP)<\/a><\/strong>:<\/span><\/i> <span data-contrast=\"auto\">An interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, and technical methods and algorithms for translating text or audio speech into encoded, structured information.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"34\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Neural Network Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW50832667 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW50832667 BCX0&amp;quot;&amp;gt;Mathematical or computational algorithms for statistical data processing that convert between complex objects and tokens suitable for conventional data processing.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/neural-network-models\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Neural Network Models<\/a><\/i><\/strong><span data-contrast=\"auto\">: Mathematical or computational algorithms for statistical data processing that convert between complex objects and tokens suitable for conventional data processing.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"35\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prediction Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW261411142 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW261411142 BCX0&amp;quot;&amp;gt;Statistical models for predicting target variable outcomes based on a set of independent predictor variables (e.g., linear regression).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prediction-models\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Prediction Models<\/a><\/i><\/strong><span data-contrast=\"auto\">: Statistical models for predicting target variable outcomes based on a set of independent predictor variables (e.g., linear regression).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"36\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Predictive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;Advanced analytics procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, forecasting, and classification)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW180822467 BCX0&amp;quot;&amp;gt;.&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/predictive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Predictive Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Advanced Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Automated (or semi-automated) statistical techniques or logic-based methods for analyzing data to discover underlying patterns, make predictions, or generate recommendations (e.g., sentiment analysis, graph analysis, multivariate statistics, machine learning, neural networks).&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/advanced-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Advanced analytics<\/a> procedures or techniques for analyzing content or data to predict characteristics of target variables based on relevant features or attributes of the data (e.g., predictive modeling, regression analysis, multivariate statistics, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>forecasting<\/a>, and classification).&nbsp;&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"37\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prescriptive Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW87192359 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW87192359 BCX0&amp;quot;&amp;gt;Tools, procedures, and techniques for analyzing relationships among variables in order to prescribe a course of action (e.g., heuristics, recommender algorithms, graph analysis).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prescriptive-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Prescriptive Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: Tools, procedures, and techniques for analyzing relationships among variables in order to prescribe a course of action (e.g., heuristics, recommender algorithms, graph analysis).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"38\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Process Automation&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;The use of software and technologies to automate analytics processes and functions to accomplish defined business goals, such as ingesting, processing, and storing data; automatically updating reporting dashboards; and using automated statistical, machine learning, or artificial intelligence models.&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/process-automation\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Process Automation<\/a><\/i><\/strong><span data-contrast=\"auto\">: The use of software and technologies to automate <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> processes and functions to accomplish defined business goals, such as ingesting, processing, and storing data; automatically updating reporting <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Dashboards&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Reporting mechanisms that aggregate and visually display data and&nbsp;&amp;lt;span class=&amp;quot;&amp;quot; role=&amp;quot;link&amp;quot; data-gt-translate-attributes=&amp;quot;[{&amp;amp;quot;attribute&amp;amp;quot;:&amp;amp;quot;data-cmtooltip&amp;amp;quot;, &amp;amp;quot;format&amp;amp;quot;:&amp;amp;quot;html&amp;amp;quot;}]&amp;quot;&amp;gt;key performance indicators (KPIs)&amp;lt;\/span&amp;gt;&nbsp;to end-users as charts and graphs to indicate progress toward pre-defined goals.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/dashboards\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>dashboards<\/a>; and using automated statistical, machine learning, or artificial intelligence models.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"39\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Relational Database&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt;Type of database that stores and &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt;provides&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt; access to data points that are related to one another&amp;lt;\/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt;based on the relational model&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt; for&amp;lt;\/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt;representing&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt; data in tables&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt; (e.g., Oracle Database)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW70535707 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/relational-database\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Relational Database<\/a><\/strong>:<\/span><\/i><span data-contrast=\"auto\"> Type of database that stores and provides access to data points that are related to one another based on the relational model for representing data in tables (e.g., Oracle Database).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"40\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Reinforcement Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW127687911 BCX0&amp;quot;&amp;gt;Area of machine learning&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW127687911 BCX0&amp;quot;&amp;gt;&nbsp;concerned with how intelligent agents (artificial intelligence) &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW127687911 BCX0&amp;quot;&amp;gt;should&amp;lt;\/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW127687911 BCX0&amp;quot;&amp;gt;take actions to maximize&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW127687911 BCX0&amp;quot;&amp;gt; the notion of cumulative reward (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW127687911 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW127687911 BCX0&amp;quot;&amp;gt;Markov decision process).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/reinforcement-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Reinforcement Learning<\/a><\/i><\/strong><span data-contrast=\"auto\">: Area of machine learning concerned with how intelligent agents (artificial intelligence) should take actions to maximize the notion of cumulative reward (e.g., Markov decision process).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"41\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Risk Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW26857004 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW26857004 BCX0&amp;quot;&amp;gt;Procedures and techniques for evaluating organizational risks quantified as a function of threat, vulnerability, and consequences at each area of the organization.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/risk-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Risk Analytics<\/a><\/i><\/strong><span data-contrast=\"auto\">: Procedures and techniques for evaluating organizational risks quantified as a function of threat, vulnerability, and consequences at each area of the organization.&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"43\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Scalability&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW95008668 BCX0&amp;quot;&amp;gt;Measure of a system&rsquo;s ability to increase or decrease in performance and cost in response to changes in application and system processing demands (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW95008668 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW95008668 BCX0&amp;quot;&amp;gt;hardware system, database, operating system).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/scalability\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Scalability<\/a><\/i><\/strong><span data-contrast=\"auto\">: Measure of a system&rsquo;s ability to increase or decrease in performance and cost in response to changes in application and system processing demands (e.g., hardware system, database, operating system).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"44\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Sentiment Analysis&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;Analysis procedure for &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;determining&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; whether text is positive, negative&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; or neutral&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/sentiment-analysis\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Sentiment Analysis<\/a><\/strong>:<\/span><\/i> <span data-contrast=\"auto\">Analysis procedure for determining whether text is positive, negative, or neutral.<\/span><b><span data-contrast=\"auto\">&nbsp;&nbsp;<\/span><\/b><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"45\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Statistical Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;A framework for &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;ML&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt; drawing from statistics and functional analysis which includes methods of statistical inference for finding a predictive function based on data. Includes procedures and techniques for supervised learning tasks (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;e.g&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;, &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;classification, regression) and unsupervised learning tasks (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;clustering, principal components analysis)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW89729933 BCX0&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/statistical-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Statistical Learning<\/a><\/strong>:<\/span><\/i><span data-contrast=\"auto\"> A framework for machine learning drawing from statistics and functional analysis which includes methods of statistical inference for finding a predictive function based on data. Includes procedures and techniques for <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Supervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;A machine learning approach where a computational model is trained on human-labeled data to make predictions about a target variable that can be categorical (for classification tasks) or continuous (for regression tasks). The model is evaluated using performance metrics&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/supervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>supervised learning<\/a> tasks (e.g., classification, regression) and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Unsupervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;Computational approach &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;used to discover natural groupings or categories among observations in un&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;labeled data&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt; by association (i.e., clustering).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/unsupervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>unsupervised learning<\/a> tasks (e.g., clustering, principal components analysis). <\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"46\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Structured Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;Quantitative d&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;ata &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;represented&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt; in a &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;highly organized, &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;standard format &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;that &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;has a well-defined structure, complies to a data model, follows a persistent order, and is easily accessed by humans&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;, &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;programs&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt; and &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW36095200 BCX0&amp;quot;&amp;gt;machine learning algorithms.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/structured-data\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Structured Data<\/a><\/strong>: <\/span><\/i><span data-contrast=\"auto\">Quantitative data represented in a highly organized, standard format that has a well-defined structure, complies to a data model, follows a persistent order, and is easily accessed by humans, programs, and machine learning algorithms.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"47\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Supervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;A machine learning approach where a computational model is trained on human-labeled data to make predictions about a target variable that can be categorical (for classification tasks) or continuous (for regression tasks). The model is evaluated using performance metrics&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW249262403 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/supervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Supervised Learning<\/a><\/strong>:<\/span><\/i> A machine learning <span data-contrast=\"auto\">approach where a computational model is trained on human-labeled data to make predictions about a target variable that can be categorical (for classification tasks) or continuous (for regression tasks). The model is evaluated using performance metrics.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"48\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Text Analysis&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW40930298 BCX0&amp;quot;&amp;gt;Process of deriving knowledge from text sources by summarizing text content across a large body of information or documents (e.g., natural language processing&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW40930298 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW40930298 BCX0&amp;quot;&amp;gt; sentiment analysis).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/text-analysis\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Text Analysis<\/a><\/i><\/strong><span data-contrast=\"auto\">: Process of deriving knowledge from text sources by summarizing text content across a large body of information or documents (e.g., natural language processing, <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Sentiment Analysis&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;Analysis procedure for &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;determining&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; whether text is positive, negative&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; or neutral&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/sentiment-analysis\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>sentiment analysis<\/a>).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"49\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Throughput&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;Volume of work or information flowing through a system (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;information storage and retrieval systems&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;, in which throughput is measured in units such as number of times accessed per hour.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/throughput\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Throughput<\/a><\/i><\/strong><span data-contrast=\"auto\">: Volume of work or information flowing through a system (e.g., information storage and retrieval systems), in which <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Throughput&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;Volume of work or information flowing through a system (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;information storage and retrieval systems&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;, in which throughput is measured in units such as number of times accessed per hour.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/throughput\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>throughput<\/a> is measured in units such as number of times accessed per hour.<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"50\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Unstructured Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW251593328 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW251593328 BCX0&amp;quot;&amp;gt;Qualitative data or information that does not have a predefined data model and that cannot be processed and analyzed by conventional data tools and methods (e.g., text, images).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/unstructured-data\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Unstructured Data<\/a><\/strong>: <\/span><\/i><span data-contrast=\"auto\">Qualitative data or information that does not have a predefined data model and that cannot be processed and analyzed by conventional data tools and methods (e.g., text, images).&nbsp;<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"51\" data-aria-level=\"1\"><strong><i><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Unsupervised Learning&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;Computational approach &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;used to discover natural groupings or categories among observations in un&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt;labeled data&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW29815047 BCX0&amp;quot;&amp;gt; by association (i.e., clustering).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/unsupervised-learning\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Unsupervised Learning<\/a><\/i><\/strong><span data-contrast=\"auto\">: Computational approach used to discover natural groupings or categories among observations in unlabeled data by association (i.e., clustering).<\/span><span data-ccp-props='{\"134233279\":false,\"201341983\":0,\"335559739\":60,\"335559740\":259}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61623;\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Symbol\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61623;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"52\" data-aria-level=\"1\"><i><span data-contrast=\"auto\"><strong><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Video Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;T&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;echnology &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;for&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt; process&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;ing&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt; digital video signal&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;s&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt; using algorithm&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;s&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt; to perform a security-related function&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt; (e.g., f&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;ixed algorithm analytics&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;, AI&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt; learning algorithms&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;, f&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;acial recognition&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW42774052 BCX0&amp;quot;&amp;gt;).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/video-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Video Analytics<\/a><\/strong>:<\/span><\/i> <span data-contrast=\"auto\">Technology for processing digital video signals using algorithms to perform a security-related function (e.g., fixed algorithm <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>, AI learning algorithms, facial recognition).<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Data <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Analytics<\/a> Key Terminology <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Advanced Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Automated (or semi-automated) statistical techniques or logic-based methods for analyzing data to discover underlying patterns, make predictions, or generate recommendations (e.g., sentiment analysis, graph analysis, multivariate statistics, machine learning, neural networks).&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/advanced-analytics\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Advanced Analytics<\/a>: Automated (or semi-automated) statistical techniques or logic-based methods for analyzing data to discover underlying patterns, make predictions, or generate recommendations (e.g., <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Sentiment Analysis&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;Analysis procedure for &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;determining&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; whether text is positive, negative&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt; or neutral&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW238648406 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW238648406 BCX0&amp;quot;&amp;gt;&nbsp;&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/sentiment-analysis\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">sentiment analysis<\/a>, graph analysis, multivariate statistics, machine learning, neural networks).&nbsp; <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Aggregate Data&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Data or information combined from multiple observations, series, or sources.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/aggregate-data\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Aggregate Data<\/a>: Data or information combined from multiple observations, series, or sources.&nbsp; <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Agile Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW67952562 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW67952562 BCX0&amp;quot;&amp;gt;Iterative approach to developing analytics solutions rapidly based on frequent feedback from end-users to increase value for stakeholders.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/agile-analytics\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Agile Analytics<\/a>: Iterative approach to developing &hellip; <a href=\"https:\/\/crp.trb.org\/acrpwebresource18\/key-terminology\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &ldquo;Key Terminology&rdquo;<\/span><\/a><\/p>\n","protected":false},"author":95,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[2],"class_list":["post-1404","page","type-page","status-publish","hentry","tag-glossary"],"acf":[],"_links":{"self":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1404","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/users\/95"}],"replies":[{"embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/comments?post=1404"}],"version-history":[{"count":7,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1404\/revisions"}],"predecessor-version":[{"id":1496,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1404\/revisions\/1496"}],"wp:attachment":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/media?parent=1404"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/categories?post=1404"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/tags?post=1404"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}