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Volumn 2005, Issue , 2005, Pages 189-195

An approach to grid scheduling optimization based on fuzzy association rule mining

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA PROCESSING; FUZZY SETS; KNOWLEDGE ACQUISITION; OPTIMIZATION; PATTERN RECOGNITION; SCHEDULING;

EID: 33846326911     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/E-SCIENCE.2005.16     Document Type: Conference Paper
Times cited : (10)

References (15)
  • 3
    • 33846283661 scopus 로고    scopus 로고
    • Dimemas Project
    • Dimemas Project, http://www.cepba.upc.es/dimemas/
  • 5
    • 33846276758 scopus 로고    scopus 로고
    • NWS Project
    • NWS Project, http://nws.cs.ucsb.edu/
  • 6
    • 33846297891 scopus 로고    scopus 로고
    • PRAGMA Project
    • PRAGMA Project, http://www.pragma-grid.net/
  • 9
    • 33846288541 scopus 로고    scopus 로고
    • Autopilot Project
    • Autopilot Project, http://www.renci.unc.edu/Project/ Autopilot/ AutopilotOverview.htm
  • 10
    • 33846282924 scopus 로고    scopus 로고
    • GrADS Project
    • GrADS Project, http://www.hipersoft.rice.edu/grads/
  • 13
    • 0033313378 scopus 로고    scopus 로고
    • Mining fuzzy sequential patterns from quantitative data
    • Man, and Cybernetics, Oct
    • T. P. Hong, C. S. Kuo, and S. C. Chi, "Mining fuzzy sequential patterns from quantitative data", Proc. of the International Conference on Systems, Man, and Cybernetics, Oct. 1999, Vol.3, pp.962-966.
    • (1999) Proc. of the International Conference on Systems , vol.3 , pp. 962-966
    • Hong, T.P.1    Kuo, C.S.2    Chi, S.C.3
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.