Smart City Gnosys

Smart city article details

Title	A Data Science Solution For Mining Weather Data And Transportation Data For Smart Cities
ID_Doc	1231
Authors	Nguyen B.; Shinnie M.J.D.; Leung C.K.; Kuzie M.R.; Kokilev N.N.; Kaur S.
Year	2022
Published	Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022
DOI	http://dx.doi.org/10.1109/COMPSAC54236.2022.00266
Abstract	As we are living in an uncertain world, the uncertainty may have significant and/or direct implications on various aspects of the computer industry. Hence, innovations of computers, software and applications have emerged as a pressing need. Data science solutions have been designed and/or developed for social good. For example, in this paper, we present a data science solution for mining weather and transportation data. The solution helps analyze the effect of common weather conditions (e.g., fog, rain, snow) on transportation. Evaluation on real-life data for a Canadian city demonstrates the practicality of our data science solution for mining weather and transportation data. Knowledge discovered helps in building a smart city. © 2022 IEEE.
Author Keywords	association rules; data mining; data science; frequent patterns; public transit data; weather data

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