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Volumn 3641 LNAI, Issue , 2005, Pages 204-213

Feature selection with adjustable criteria

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION MAKING; HEURISTIC METHODS; QUALITY CONTROL;

EID: 33646008875     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11548669_22     Document Type: Conference Paper
Times cited : (26)

References (18)
  • 5
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash, H. Liu, "Feature selection for classification," Intelligence Data Analysis, 1, 131-156, 1997.
    • (1997) Intelligence Data Analysis , vol.1 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 11
    • 78149320913 scopus 로고    scopus 로고
    • Attribute (Feature) completion- The theory of attributes from data mining prospect
    • Maebashi, Japan
    • T. Y. Lin, "Attribute (Feature) completion- the theory of attributes from data mining prospect," Proceedings of International Conference on Data Mining, Maebashi, Japan, pp.282-289, 2002.
    • (2002) Proceedings of International Conference on Data Mining , pp. 282-289
    • Lin, T.Y.1
  • 13
    • 0017535866 scopus 로고
    • A branch and bound algorithm for feature subset selection
    • P.M. Narendra and K. Fukunaga, "A branch and bound algorithm for feature subset selection", IEEE Transactions on Computers, C-26(9), 917-922, 1977.
    • (1977) IEEE Transactions on Computers , vol.C-26 , Issue.9 , pp. 917-922
    • Narendra, P.M.1    Fukunaga, K.2
  • 15
    • 0002608174 scopus 로고
    • A decision theoretic framework for approximating concepts
    • Y.Y. Yao and S.K.M. Wong, "A decision theoretic framework for approximating concepts," International Journal of Man-machine Studies", 37(6), 793-809, 1992.
    • (1992) International Journal of Man-machine Studies , vol.37 , Issue.6 , pp. 793-809
    • Yao, Y.Y.1    Wong, S.K.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.