Data collection from mobile phone for personalized behavior mining

Abstract

In this project, a prototype data collection software on Android mobile devices is developed. To test the implementation, GPS traces, the outgoing /incoming calls, the short messages and media playback data are collected and processed for pattern mining purposes. Moreover, we study how these collected data can be transformed into an eigenbehaviour representation and how future activities can be predicted. In addition, we study how one can discover the frequent locations from individual GPS traces.