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Volumn , Issue , 2009, Pages 27-32

WSRF services for learning classifiers from data grid

Author keywords

[No Author keywords available]

Indexed keywords

DATA GRID; DATA MINING METHODS; DATA SETS; DISTRIBUTED EXECUTION; LEARNING CLASSIFIERS; METALEARNING;

EID: 70349931447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICCSA.2009.5069293     Document Type: Conference Paper
Times cited : (1)

References (11)
  • 1
    • 33646054835 scopus 로고    scopus 로고
    • Programming scientific and distributed workflow with Triana services
    • D. Churches et al., "Programming scientific and distributed workflow with Triana services", Concurrency and Computation: Practice and Experience, 2005, pp. 1021-1037.
    • (2005) Concurrency and Computation: Practice and Experience , pp. 1021-1037
    • Churches, D.1
  • 2
    • 70349955212 scopus 로고    scopus 로고
    • K. Czajkowski, The WS-Resource Framework Version 1.0, 2004
    • K. Czajkowski, "The WS-Resource Framework Version 1.0, http://www-106.ibm.com/developerworks/library/ws-esource/wswsrf. pdf", 2004.
  • 3
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T. G. Dietterich, An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning, 2000, pp. 139-157.
    • (2000) Machine Learning , pp. 139-157
    • Dietterich, T.G.1
  • 5
    • 26944450174 scopus 로고    scopus 로고
    • Grid-enabledWeka : A Toolkit for Machine Learning on the Grid,
    • R. Khoussainov, X. Zuo and N. Kushmerick, "Grid-enabledWeka : A Toolkit for Machine Learning on the Grid," ERCIM News, 2004.
    • (2004) ERCIM News
    • Khoussainov, R.1    Zuo, X.2    Kushmerick, N.3
  • 7
    • 0002522158 scopus 로고    scopus 로고
    • Meta-learning in Distributed Data Mining Systems: Issues and Approaches
    • Hillol Kargupta and Philip Chan, editors, MIT/AAAI Press
    • A. Prodromidis and P. Chan. Meta-learning in Distributed Data Mining Systems: Issues and Approaches. In Hillol Kargupta and Philip Chan, editors, Advances of Distributed Data Mining. MIT/AAAI Press, 2000, pp. 81-114.
    • (2000) Advances of Distributed Data Mining , pp. 81-114
    • Prodromidis, A.1    Chan, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.