Mining mobile group patterns: a trajectory-based approach
PAKDD(2005)
摘要
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.
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关键词
trajectory-based approach,distance threshold,storage space,atgp algorithm,mobile device user,mobile group pattern,minimum time duration,grouping information,disconnected location data,group pattern mining approach,group pattern,trajectory model,mobile device,information system
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