Mining Mobile Group Patterns: A Trajectory-based Approach
Conference Proceeding Article
In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on a trajectory model. Group patterns of users are determined by distance threshold and minimum time duration. A trajectory model of user movement is adopted to save storage space and to cope with untracked or disconnected location data. To discover group patterns, we propose ATGP algorithm and TVG-growth that are derived from the Apriori and VG-growth algorithms respectively.
Databases and Information Systems
Data Management and Analytics
Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKKD 2005)
City or Country
HWANG, San-Yih; LIU, Ying-Han; CHIU, Jeng-Kuen; and LIM, Ee Peng.
Mining Mobile Group Patterns: A Trajectory-based Approach. (2005). Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKKD 2005). 713-718. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1034