Mining Physical Parallel Pattern From Mobile Users

Mobile Data Mining focuses on finding useful knowledge out from raw data from mobile users. In this paper, parallel pattern is proposed, which describes the movement trend patterns of mobile users. Parallel pattern aims to find out the trend of movement based on physical location as detected by the wireless access point. The performance testing of this paper shows that as the number of different mobile user increases, under random distribution, the number of parallel pattern found decreases. Therefore, it is important to adjust the size of the window depending on the amount of mobile users surrounding the particular wireless network access point.