Cross-Correlation Measure for Mining Spatio-Temporal Patterns
文献类型:期刊论文
作者 | Ma, James1; Zeng, Daniel2,3![]() |
刊名 | JOURNAL OF DATABASE MANAGEMENT
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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
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