Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
