On Mining Group Patterns of Mobile Users
Conference Proceeding Article
In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on the spatio-temporal distances among them. Group patterns of users are determined by a distance threshold and a minimum duration. To discover group patterns, we propose the AGP and VG-growth algorithms that are derived from the Apriori and FP-growth algorithms respectively. We further evaluate the efficiencies of these two algorithms using synthetically generated user movement data.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
Database and Expert Systems Applications: 14th International Conference, DEXA 2003, Prague, Czech Republic, September 1-5: Proceedings
City or Country
Prague, Czech Republic
WANG, Yida; LIM, Ee Peng; and HWANG, San-Yih.
On Mining Group Patterns of Mobile Users. (2003). Database and Expert Systems Applications: 14th International Conference, DEXA 2003, Prague, Czech Republic, September 1-5: Proceedings. 2736, 287-296. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1032