Mining mobile group patterns: a trajectory-based approach

Authors:
San-Yih Hwang;Ying-Han Liu;Jeng-Kuen Chiu;Ee-Peng Lim
Affiliations:
Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan;Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan;Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan;School of Computer Engineering, Nanyang Technological University, Singapore, Singapore
Venue:
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Year:
2005

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Abstract

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.