Hybrid Temporal Sequential Pattern Mining Scheme for Mobile Services
作者: M.Nagaraj A. Venugopal
刊名: International Journal of Computer Science and Mobile Computing- IJCSMC, 2016, Vol.5 (11)
来源数据库: International Journal of Computer Science and Mobile Computing
关键词: Data miningtransportationmining methods and algorithmsmobile environments
原始语种摘要: Researches on Location-Based Service (LBS) have been emerging in recent years due to a wide range of potential applications. One of the active topics is the mining and prediction of mobile movements and associated transactions. Most of existing studies focus on discovering mobile patterns from the whole logs. However, this kind of patterns may not be precise enough for predictions since the differentiated mobile behaviors among users and temporal periods are not considered. In this work, we propose a novel algorithm, namely, Cluster-based Temporal Mobile Sequential Pattern Mine (CTMSP-Mine), to discover the Cluster-based Temporal Mobile Sequential Patterns (CTMSPs). Moreover, a prediction strategy is proposed to predict the subsequent mobile behaviors. In CTMSP-Mine, user clusters are...
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  • segmenting 分段
  • temporal 现世的
  • segmentation 分段
  • mobile 可动的
  • users 使用者
  • existing 现行
  • transactions 会刊
  • prediction 预报
  • algorithm 算法
  • proposed 建议的