MINING CTMSPS IN LBS

Increasing popularity of wireless technology leads to research in mining and prediction of mobile movements and associated transactions. Discovery of mobile patterns from logs may not be precise enough for predictions since the varying mobile behaviors among users and temporal periods are not considered. In this work, a novel algorithm, namely, CTMSP-Mine is proposed, to discover the CTMSPs. A prediction strategy is proposed to predict the mobile behaviors. In CTMSP-Mine, user clusters are constructed by a novel algorithm named Smart CAST and similarities between users are evaluated by the proposed measure, LBS-Alignment. Also a time segmentation approach is proposed to find segmenting time intervals where similar mobile characteristics exist.