A Data Science Solution for Mining Weather Data and Transportation Data for Smart Cities
Ben Nguyen, Mark J.D. Shinnie, Carson Kai-Sang Leung, Michael R. Kuzie, Nikola N. Kokilev, Sukhmandeep Kaur · 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) · 2022
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.