中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cross-Correlation Measure for Mining Spatio-Temporal Patterns

文献类型:期刊论文

作者Ma, James1; Zeng, Daniel2,3; Zhao, Huimin4; Liu, Chunyang5
刊名JOURNAL OF DATABASE MANAGEMENT
出版日期2013-04-01
卷号24期号:2页码:13-34
关键词Cross-Correlation Data Mining Public Health Public Safety Spatio-Temporal Data Analysis
英文摘要Spatio-temporal data mining is finding applications in many domains, such as public health, public safety, financial fraud detection, transportation, and product lifecycle management. Correlation analysis is an important spatio-temporal mining technique for unveiling spatial and temporal relationships among multiple event types. This paper presents a new measure for assessing and analyzing spatio-temporal cross-correlations.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering
研究领域[WOS]Computer Science
关键词[WOS]KNOWLEDGE DISCOVERY ; SEQUENTIAL PATTERNS ; 2ND-ORDER ANALYSIS ; FREQUENT EPISODES ; DATA SETS ; SEQUENCES
收录类别SCI
语种英语
WOS记录号WOS:000329758300002
源URL[http://ir.ia.ac.cn/handle/173211/3669]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位1.Colorado State Univ, Hasan Sch Business, Pueblo, CO 81001 USA
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
3.Univ Arizona, Eller Coll Management, Tucson, AZ USA
4.Univ Wisconsin, Sheldon B Lubar Sch Business, Milwaukee, WI 53201 USA
5.Coordinat Ctr China, Natl Comp Network Emergency Response Tech Team, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Ma, James,Zeng, Daniel,Zhao, Huimin,et al. Cross-Correlation Measure for Mining Spatio-Temporal Patterns[J]. JOURNAL OF DATABASE MANAGEMENT,2013,24(2):13-34.
APA Ma, James,Zeng, Daniel,Zhao, Huimin,&Liu, Chunyang.(2013).Cross-Correlation Measure for Mining Spatio-Temporal Patterns.JOURNAL OF DATABASE MANAGEMENT,24(2),13-34.
MLA Ma, James,et al."Cross-Correlation Measure for Mining Spatio-Temporal Patterns".JOURNAL OF DATABASE MANAGEMENT 24.2(2013):13-34.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。