On Mining Group Patterns of Mobile Users

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.

• Type: Conference
• Year: 2003
• Where: DEXA
• Authors: Yida Wang, Ee-Peng Lim, San-Yih Hwang
• Keywords: DEXA 2003, Group Pattern Mining, Group Patterns, Mobile Device Users