Analysis of User Movement Behaviour Pattern Mining Approaches for Mobile Environments
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Abstract
The advances in wireless communications and mobile device technologies not only accentuate various wireless communications applications but also enable the provision of plentiful kinds of mobile services for users. Mobile service systems offer users useful information ubiquitously via mobile devices. Based on changeable user movement behaviour patterns (UMBPs), mobile service systems have the capability of effectively mining a special request from abundant data. In this paper, UMBPs are studied in terms of the problem of mining matching mobile access patterns based on joining the following four kinds of characteristics, U,L,T, and S, where U is the mobile user, L is the movement location, T is the dwell time in the timestamp, and S is the service request.
Keywords: Data mining, mobile access patterns, mobile services
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