An Research Review on Clustering Analysis for Spatio-temporal Trajectories of Moving Point Objects

被引:0
作者
Zhao XiuLi [1 ]
机构
[1] Shandong Polytech Univ, Sch Business, Jinan, Peoples R China
来源
2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4 | 2012年
关键词
spatio-temporal data mining; moving point objects; clustering analysis; PATTERNS;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As an information extraction technology, clustering analysis for spatio-temporal trajectories of moving point objects focuses on spatial and temporal distribution and principle of group movement behavior. Potential applications span a wide spectrum such as meteorology, traffic engineering, wildlife migration, mobile network allocation and logistics. Firstly some concepts related to clustering analysis for spatio-temporal trajectories of moving point objects are introduced. Then the current research progresses of this filed are elaborately summarized. Finally the open research problems are pointed out. Clustering analysis for spatio-temporal trajectories of moving point objects is a novel research field and many issues need to be solved. The review research on this topic has great theoretical and practical value.
引用
收藏
页码:2686 / 2690
页数:5
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