Bibliography
Davenport, T. 2018. DELTA Plus Model and Five Stages of Analytics Maturity: A Primer. Research Brief. International Institute for Analytics. IIAnalytics.com.
Davenport, T.H., J.G. Harris, and R. Morrison. 2010. Analytics at Work: Smarter Decisions, Better Results. Harvard Business School Publishing. Boston, MA.
Degas, A., M.R. Islam, C. Hurter, S. Barua, H. Rahman, M. Poudel, D. Ruscio, …, and P. Aricó. 2022. A survey on artificial intelligence (AI) and eXplainable AI in air traffic management: Current trends and development with future research trajectory. Applied Sciences, 12(3), 1295. https://doi.org/10.3390/app12031295.
Gartner Inc. Information Technology Glossary. Accessed March 24, 2023. https://www.gartner.com/en/information-technology/glossary.
Global Aerospace. 2020. The Benefits of Aviation Data Sharing and How to Get Started. https://www.global-aero.com/the-benefits-of-aviation-data-sharing-and-how-to-get-started/.
Lunacek, M., L. Williams, J. Severino, K. Ficenec, J. Ugirumurera, M. Eash, Y. Ge, and C. Phillips. 2021. A data-driven operational model for traffic at the Dallas Fort Worth International Airport. Journal of Air Transport Management, 94, 102061. https://doi.org/10.1016/j.jairtraman.2021.102061.
Mullan, M. 2019. The data-driven airport: How daa created data and analytics capabilities to drive business growth, improve the passenger experience and deliver operational efficiency. Journal of Airport Management, 13(3), 362-379. Henry Stewart Publications.
Provost, F. and T. Fawcett. 2013. Data Science for Business. O’Reilly Media Inc. Sebastopol, CA. https://learning.oreilly.com/library/view/data-science-for/9781449374273/.
Sadiku, M.N.O., J. Foreman, and S.M. Musa. 2018. Big data analytics: A primer. International Journal of Engineering Technologies and Management Research, 5(9), 44-49. https://doi.org/10.29121/ijetmr.v5.i9.2018.287.
Salinas, D., V. Flunkert, J. Gasthaus, and T. Januschowski. 2020. DeepAR: Probabilistic forecasting with autoregressive recurrent networks. International Journal of Forecasting, 36(3), 1181-1191. https://doi.org/10.1016/j.ijforecast.2019.07.001.
Schultz, M., S. Reitmann, and S. Alam. 2021. Predictive classification and understanding of weather impact on airport performance through machine learning. Transportation Research Part C: Emerging Technologies, 131, 103119. https://doi.org/10.1016/j.trc.2021.103119.
Shmueli, G., P.C. Bruce, P. Gedeck, and N.R. Patel. 2020. Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python. Wiley & Sons. Hoboken, NJ. https://learning.oreilly.com/library/view/data-mining-for/9781119549840/.
Simon, P. 2017. Analytics: The Agile Way. Wiley & Sons Inc. Hoboken, NJ. https://www.wiley.com/en-us/Analytics:+The+Agile+Way-p-9781119423478.
U.S. Geological Survey. n.d. Data Sharing Agreements. https://www.usgs.gov/data-management/data-sharing-agreements.
U.S. National Archives. 1984. Airport Noise Compatibility Planning, 14 C.F.R. § 150. Code of Federal Regulations. https://www.ecfr.gov/current/title-14/chapter-I/subchapter-I/part-150.
U.S. National Archives. 2012. Airport De-icing Point Source Category, 40 C.F.R. § 449. Code of Federal Regulations. https://www.ecfr.gov/current/title-40/chapter-I/subchapter-N/part-449.
Yang, Z., U. Wang, J. Li, L. Liu, J. Ma, and Y. Zhong. 2020. Airport arrival flow prediction considering meteorological factors based on deep-learning methods. Complexity: Special Edition on Deep Learning Models Applied to Complex Big Data Analysis, 2020, 6309272. Wiley: Hindawi. https://doi.org/10.1155/2020/6309272.