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题名: Discovering Closed Frequent Patterns in MovingTrajectory Database
作者: Wang L(王亮) ; Hu KY(胡琨元) ; Ku T(库涛) ; Wu JW(吴俊伟)
作者部门: 信息服务与智能控制技术研究室
会议名称: 2012 IEEE 14th International Conference on Communication Technology (ICCT 2012)
会议日期: November 9-11, 2012
会议地点: Chengdu, China
会议录: 2012 IEEE 14th International Conference on Communication Technology
会议录出版者: IEEE
会议录出版地: New York, USA
出版日期: 2012
页码: 1546-1551
收录类别: EI
关键词: closed frequent pattern ; moving trajectory databse ; spatiotemporal region of interesting ; CloSpan algorithm
摘要: The increasing availability of tracking devices bring larger amounts of trajectories representing people's moving location histories. In this paper, we aimed to mine closed frequent patterns in moving trajectory database. Such closed frequent patterns can help us to understand general mobile behaviors in compact representation. In this work, we first presented a conception of spatiotemporal region of interesting (STROI) to capture the attribute of moving trajectory in spatial and temporal dimensions. Second, based on the set of STROIs distributing in given geospatial region, we transformed trajectory data into STROI element sequence data at different time slice with respect to corresponding STROIs. Third, we modified the closed sequence pattern mining algorithm CloSpan to adapt to closed moving trajectory pattern discovery. Finally, the approaches are then validated by a range of synthetic data sets to evaluate the usefulness and efficiency.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/10159
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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