Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
It is the purpose of this paper to discuss whether we could predict the number of visitors of public facilities from the GPS location big data collected from approximately 20 million smartphones in total while taking into consideration influences of various covariates to correct several biases relate to the penetration ratio. We used number of visitors of baseball games in the year 2018 as a label, and GPS location big data and other features as feature vectors to apply supervised machine learning methods. Because of the prediction accuracy, we concluded that it is possible to predict number of visitors of public facilities from GPS location big data.
