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Volumn 28, Issue 5, 2002, Pages 793-813

High-performance data mining with skeleton-based structured parallel programming

Author keywords

Association rules; Classification; Clustering; Data mining; High performance computing; Skeletons; Structured parallel programming

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; PARALLEL PROCESSING SYSTEMS; SOFTWARE ENGINEERING; STRUCTURED PROGRAMMING;

EID: 0036563865     PISSN: 01678191     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8191(02)00095-9     Document Type: Article
Times cited : (29)

References (41)
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  • 4
    • 0005204908 scopus 로고    scopus 로고
    • Mining of association rules in very large databases: A structured parallel approach
    • Euro-Par '99 Parallel Processing, Springer, Berlin
    • (1999) LNCS , vol.1685 , pp. 1441-1450
    • Becuzzi, P.1    Coppola, M.2    Vanneschi, M.3
  • 6
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    • Structured parallel programming and shared objects: Experiences in data mining classifiers
    • G. Joubert, A. Murli, F. Peters, M. Vanneschi (Eds.), Parallel Computing, Advances and Current Issues, Naples, Italy. Imperial College Press, London
    • (2002) Proc. of the Internat. Conf. ParCo 2001
    • Carletti, G.1    Coppola, M.2
  • 7
    • 84937431201 scopus 로고    scopus 로고
    • Experiments in parallel clustering with DBSCAN
    • Sakellariou R., Keane J., Gurd, J., Freeman L. (Eds.), Euro-Par 2001: Parallel Processing
    • (2001) LNCS , vol.2150
    • Arlia, D.1    Coppola, M.2
  • 39
    • 0005792516 scopus 로고    scopus 로고
    • Parallel and distributed processing
    • Springer, Berlin
    • (2000) LNCS , vol.1800
    • Rolim, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.