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Fuzzy Mobility Pattern Discovery from Time Summarized Moving Data
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
关键词Time Summarized Moving Data Mobile Behavior Pattern Time Gap Interval Number Fuzzy Set
发表期刊Advances in information Sciences and Service Sciences
ISSN1976-3700
2013
卷号5期号:10页码:975-983
产权排序1
摘要The advance of object tracking technologies leads to huge volumes of spatiotemporal data collected in moving database. Hidden the moving database, there are many useful information and knowledge which could reveal the mobility behavior and surrounding conditions. In this paper, we focused on the problem of mining behavior pattern from time summarized moving data in which the temporal information is summarized in short period and represented by range values. Utilizing interval number calculating, we obtain time gap between any two consecutive records. Based on fuzzy set theory, we defined mobile behavior with fuzzy linguistic terms and corresponding support. Finally we proposed two mobile behavior mining algorithms improved by Apriori algorithm and PrefixSpan algorithm. The proposed methods are evaluated with extensive experiments on both real and synthetic datasets.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/14017
专题信息服务与智能控制技术研究室
通讯作者Wang L(王亮)
作者单位1.Shenyang Institute of Automation,Chinese Academy of Sciences, P.R.China
2.University of Chinese Academy of Sciences, P.R.China
推荐引用方式
GB/T 7714
Wang L,Hu KY,Ku T,et al. Fuzzy Mobility Pattern Discovery from Time Summarized Moving Data[J]. Advances in information Sciences and Service Sciences,2013,5(10):975-983.
APA Wang L,Hu KY,Ku T,&Wu JW.(2013).Fuzzy Mobility Pattern Discovery from Time Summarized Moving Data.Advances in information Sciences and Service Sciences,5(10),975-983.
MLA Wang L,et al."Fuzzy Mobility Pattern Discovery from Time Summarized Moving Data".Advances in information Sciences and Service Sciences 5.10(2013):975-983.
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