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Volumn , Issue , 2002, Pages 35-42

A lazy approach to pruning classification rules

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[No Author keywords available]

Indexed keywords


EID: 51349151924     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (99)

References (11)
  • 1
    • 84886567160 scopus 로고    scopus 로고
    • University of California, Irvine
    • http://wvwl.ics.uci.edu/mlearn/MLRepository.html. UCI Machine Learning Repository, University of California, Irvine.
    • UCI Machine Learning Repository
  • 2
    • 0002221136 scopus 로고
    • Fast algorithm for mining association rules
    • Santiago, Chile, Sept.
    • R. Agrawal and R. Srikant. Fast algorithm for mining association rules. In VLDB'94. Santiago, Chile, Sept. 1994.
    • (1994) VLDB'94
    • Agrawal, R.1    Srikant, R.2
  • 4
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuos-valued attributes for classification learning
    • U. Fayyad and K. Irani. Multi-interval discretization of continuos-valued attributes for classification learning. In IJCAI'93, 1993.
    • (1993) IJCAI'93
    • Fayyad, U.1    Irani, K.2
  • 6
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: Accurate and efficient classification based on multiple class-association rules
    • W. Li, J. Han, and J. Pei. CMAR: Accurate and efficient classification based on multiple class-association rules. In ICDM'01, San Jose, CA, November 2001.
    • ICDM'01, San Jose, CA, November 2001
    • Li, W.1    Han, J.2    Pei, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.