中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Frequent spatiotemporal trajectory pattern mining based on pheromone concentration

文献类型:期刊论文

作者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
出版日期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
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.

入库方式: OAI收割

来源:沈阳自动化研究所

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