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Volumn 16, Issue 1, 2008, Pages 29-51

Clustering multidimensional sequences in spatial and temporal databases

Author keywords

Clustering; Data mining; Multidimensional sequences; Spatialand temporal data

Indexed keywords

DATABASE SYSTEMS; MEDICAL COMPUTING; QUALITY CONTROL;

EID: 47249144374     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-007-0121-3     Document Type: Article
Times cited : (20)

References (23)
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    • Bartusseck S (2005) Regelbasiertes Entscheidungsunterstützungssystem (DSS) zur Bewertung von Maβnahmenplünen gemüβ EG-WRRL. Forum für Hydrologie und Wasserbewirtschaftung 10
    • (2005) Forum Für Hydrologie Und Wasserbewirtschaftung , vol.10
    • Bartusseck, S.1
  • 5
    • 33645537068 scopus 로고    scopus 로고
    • Multi-step density-based clustering
    • Brecheisen S, Kriegel H and Pfeifle M (2006). Multi-step density-based clustering. Knowl Inf Sys 9(3): 284-308
    • (2006) Knowl Inf Sys , vol.9 , Issue.3 , pp. 284-308
    • Brecheisen, S.1    Kriegel, H.2    Pfeifle, M.3
  • 6
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    • MotifMiner: Efficient discovery of common substructures in biochemical molecules
    • Coatney M and Parthasarathy S (2005). MotifMiner: Efficient discovery of common substructures in biochemical molecules. Knowl Inf Sys 7(2): 202-223
    • (2005) Knowl Inf Sys , vol.7 , Issue.2 , pp. 202-223
    • Coatney, M.1    Parthasarathy, S.2
  • 10
    • 47249159722 scopus 로고    scopus 로고
    • Georgia Forestry Commission
    • Georgia Forestry Commission (2005) Weather data retrieval. http://weather.gfc.state.ga.us
    • (2005) Weather Data Retrieval
  • 15
    • 85132256511 scopus 로고    scopus 로고
    • A general approach to clustering in large databases with noise
    • Hinneburg A and Keim D (2003). A general approach to clustering in large databases with noise. Knowl Inf Sys 5(4): 387-415
    • (2003) Knowl Inf Sys , vol.5 , Issue.4 , pp. 387-415
    • Hinneburg, A.1    Keim, D.2
  • 20
    • 47249092118 scopus 로고    scopus 로고
    • LUA NRW
    • LUA NRW (2003) River quality data, http://www.lua.nrw.de.
    • (2003) River Quality Data


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.