Frequent spatiotemporal trajectory pattern mining based on pheromone concentration

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	Frequent spatiotemporal trajectory pattern mining based on pheromone concentration
	Wang L(王亮); Hu KY(胡琨元); Ku T(库涛); Wu JW(吴俊伟)
刊名	Journal of Information and Computational Science
	2013
卷号	10 期号:3 页码:645-658
关键词	Algorithms Global system for mobile communications Indexing (of information)
ISSN号	1548-7741
产权排序	1
中文摘要	With the development of positioning technologies (GPS, GSM networks, etc.), the real time data of mobile objects becomes increasingly available. It is leading to new opportunity of discovering behavior pattern and useful knowledge automatically in spatiotemporal database. We focus our study on frequent trajectory pattern mining for moving trajectory in this paper. In particular, we introduce a novel method which integrates stay time and visited frequency to detect interesting areas. Based on interesting areas, we transformed trajectory data into stay time sequence with respect to finite interesting areas. Finally, a spatiotemporal trajectory mining algorithm is proposed to discover frequent trajectory pattern. The approaches are then validated by a range of real and synthetic data sets to evaluate the usefulness and efficiency.
收录类别	EI
语种	英语
公开日期	2013-04-21
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/10583]
专题	沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式 GB/T 7714	Wang L,Hu KY,Ku T,et al. Frequent spatiotemporal trajectory pattern mining based on pheromone concentration[J]. Journal of Information and Computational Science,2013,10(3):645-658.
APA	Wang L,Hu KY,Ku T,&Wu JW.(2013).Frequent spatiotemporal trajectory pattern mining based on pheromone concentration.Journal of Information and Computational Science,10(3),645-658.
MLA	Wang L,et al."Frequent spatiotemporal trajectory pattern mining based on pheromone concentration".Journal of Information and Computational Science 10.3(2013):645-658.