Mobility Pattern Prediction Using Cell-phone Data logs

نویسندگان

  • Hamed Firouzi
  • Yue Liu
  • Amir Sadrpour
چکیده

This paper presents methods to predict the location and dwell time of cell-phone users using a longitudinal study that captures communication, proximity, location, and activity information of the subjects. We have performed three major tasks in this report as follows: the preprocessing in which the raw data was prepared for the next tasks. Location and dwell time prediction using quantized times, and finally location and dwell time prediction using kernel density estimation.

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تاریخ انتشار 2009