A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data

In the current era of big data, huge volumes of valuable data can be easily generated and collected at a rapid velocity from a wide variety of rich data sources. In recent years, the initiates of open data also led to the willingness of many government, researchers, and organizations to share their...

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Vydané v:	2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) s. 332 - 337
Hlavní autori:	Jackson, Marshall D., Leung, Carson K., Mbacke, M. Diarra B., Cuzzocrea, Alfredo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2021
Predmet:	Bayes methods Bayesian networks Big Data Correlation data analytics data science Delays Government machine learning open data predictive analytics Transportation transportation analytics Urban areas
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