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Volumn 18, Issue 11-13, 1997, Pages 1187-1195

Induction of decision rules that fulfil user-specified performance requirements

Author keywords

Automatic learning; Decision rule; Induction; Performance measure

Indexed keywords

DATA STRUCTURES; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; PERFORMANCE;

EID: 0031277347     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00114-1     Document Type: Article
Times cited : (8)

References (13)
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  • 2
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  • 4
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    • Bratko, I., Lavrač, N. (Eds.), Sigma Press, Wilmslow
    • Cestnik, B., Kononenko, I., Bratko, I., 1987. Assistant-86: A knowledge elicitation tool for sophisticated users. In: Bratko, I., Lavrač, N. (Eds.), Progress in Machine Learning. Sigma Press, Wilmslow, pp. 31-45.
    • (1987) Progress in Machine Learning , pp. 31-45
    • Cestnik, B.1    Kononenko, I.2    Bratko, I.3
  • 5
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Clark, P., Niblett, T., 1989. The CN2 induction algorithm. Machine Learning 3 (4), 261-283.
    • (1989) Machine Learning , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 6
    • 0003024008 scopus 로고
    • On the handling of continuous-valued attributes in decision tree generation
    • Fayyad, U., Irani, K., 1992. On the handling of continuous-valued attributes in decision tree generation. Machine Learning 8 (1), 87-102.
    • (1992) Machine Learning , vol.8 , Issue.1 , pp. 87-102
    • Fayyad, U.1    Irani, K.2
  • 7
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    • The use of multiple measurements in taxonomic problems
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  • 9
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    • Very simple classification rules perform well on most commonly used datasets
    • Holte, R., 1993. Very simple classification rules perform well on most commonly used datasets. Machine Learning 11 (1), 63-90.
    • (1993) Machine Learning , vol.11 , Issue.1 , pp. 63-90
    • Holte, R.1
  • 11
    • 0003408496 scopus 로고
    • Department of Information and Computer Science, University of California, Irvine
    • Murphy, P., Aha, D., 1995. UCI repository of machine learning databases. Department of Information and Computer Science, University of California, Irvine (http://www.ics.uci.edu/ ~mlearn/MLRepository.html).
    • (1995) UCI Repository of Machine Learning Databases
    • Murphy, P.1    Aha, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.