期刊名称：International Journal of Computer Science and Security (IJCSS)
电子版ISSN：1985-1553
出版年度：2016
卷号：10
期号：5
页码：195-214
出版社：Computer Science Journals
摘要：The availability of advanced capturing and computation techniques delivered the way to study on trajectory data, which denote the mobility of a variety of moving objects, such as people, vehicles and animals. Trajectory data mining is of the research trend in data mining research to cope with the current demand of trajectory data analysis providing profit rich applications. Data clustering is one of the best techniques to group the community data. In this paper efforts are made to review the trendy research being done in trajectory data mining. The review is three fold, surveying the literature on location and community based trajectory mining, trajectory data bases and trajectory querying. The review explored the trajectory data mining framework. This review can help outline the field of trajectory data mining, providing a quick outlook of this field to the community. Trajectory clustering methods are discussed. The opportunities and applications of cluster based trajectory data mining are presented. The method of similarity based community clustering is adopted to go with the future work.
关键词：Trajectory Data Mining; Trajectory Clustering; Trajectory Querying; Applications of Trajectory Data Mining; Uncertain Trajectory Data.
