Effectively and Efficiently Supporting Predictive Big Data Analytics over Open Big Data in the Transportation Sector: A Bayesian Network Framework

Today, various types of valuable data can be collected with ease and at a rapid pace. In recent years, many governments, researchers, and organizations have been driven by open data pioneers, to make their data available for public. Transportation data, such as public bus performance data, is an exa...

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Vydáno v:	2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) s. 1 - 8
Hlavní autoři:	Cuzzocrea, Alfredo, Leung, Carson K., Hajian, Mojtaba, Jackson, Marshall D.
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 12.09.2022
Témata:	Bayes methods Big Data big data analytics big data applications big data management big data systems Data systems Delay effects Government open big data Transportation Urban areas
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