메뉴 건너뛰기




Volumn , Issue , 2002, Pages 266-273

Adapting classification rule induction to subgroup discovery

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0038433993     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (24)
  • 2
    • 0003006556 scopus 로고
    • Estimating probabilities: A crucial task in machine learning
    • L. Aiello, editor, Pitman
    • B. Cestnik. Estimating probabilities: A crucial task in machine learning. In L. Aiello, editor, Proc. of the 9th European Conference on Artificial Intelligence, 147-149. Pitman, 1990.
    • (1990) Proc. of the 9th European Conference on Artificial Intelligence , pp. 147-149
    • Cestnik, B.1
  • 3
  • 4
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark and T. Niblett. The CN2 induction algorithm. Machine Learning, 3(4): 261-283, 1989.
    • (1989) Machine Learning , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 6
    • 0032596610 scopus 로고    scopus 로고
    • A simple, fast, and effective rule learner
    • American Association for Artificial Intelligence
    • W.W. Cohen and Y. Singer. A simple, fast, and effective rule learner. In Proc. of AAAI/IAAI, 335-342. American Association for Artificial Intelligence, 1999.
    • (1999) Proc. of AAAI/IAAI , pp. 335-342
    • Cohen, W.W.1    Singer, Y.2
  • 8
    • 0002593344 scopus 로고
    • K.B. Multi-interval discretisation of continuous-valued attributes for classification learning
    • R. Bajcsy, editor. Morgan Kaufmann
    • U.M. Fayyad and K.B. Irani, K.B. Multi-interval discretisation of continuous-valued attributes for classification learning. In R. Bajcsy, editor. Proc. of the 13th International Joint Conference on Artificial Intelligence, 1022-1027. Morgan Kaufmann, 1993.
    • (1993) Proc. of the 13th International Joint Conference on Artificial Intelligence , pp. 1022-1027
    • Fayyad, U.M.1    Irani, K.B.2
  • 10
    • 0002192370 scopus 로고    scopus 로고
    • Explora: A multipattern and multistrategy discovery assistant
    • U.M. Fayyad, G. Piatetski-Shapiro, P. Smyth and R. Uthurusamy, editors, MIT Press
    • W. Klösgen. Explora: A multipattern and multistrategy discovery assistant. In U.M. Fayyad, G. Piatetski-Shapiro, P. Smyth and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, 249-271. MIT Press, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 249-271
    • Klösgen, W.1
  • 15
    • 0031997697 scopus 로고    scopus 로고
    • Knowledge-based learning in exploratory science: Learning rules to predict rodent carcinogenicity
    • Y. Lee, B.G. Buchanan, and J.M. Aronis. Knowledge-based learning in exploratory science: Learning rules to predict rodent carcinogenicity. Machine Learning, 30: 217-240, 1998. (Pubitemid 128631744)
    • (1998) Machine Learning , vol.30 , Issue.2-3 , pp. 217-240
    • Lee, Y.1    Buchanan, B.G.2    Aronis, J.M.3
  • 16
    • 85005299854 scopus 로고
    • The multi-purpose incremental learning system AQ15 and its testing application on three medical domains
    • Morgan Kaufmann
    • R.S. Michalski, I. Mozetič, J. Hong, and N. Lavrač. The multi-purpose incremental learning system AQ15 and its testing application on three medical domains. In Proc. 5th National Conference on Artificial Intelligence, 1041-1045. Morgan Kaufmann, 1986.
    • (1986) Proc. 5th National Conference on Artificial Intelligence , pp. 1041-1045
    • Michalski, R.S.1    Mozetič, I.2    Hong, J.3    Lavrač, N.4
  • 17
    • 0003408496 scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • P.M. Murphy and D.W. Aha. UCI repository of machine teaming databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science, 1994.
    • (1994) UCI Repository of Machine Teaming Databases
    • Murphy, P.M.1    Aha, D.W.2
  • 18
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • F. Provost and T. Fawcett. Robust classification for imprecise environments. Machine Learning, 42(3): 203-231, 2001.
    • (2001) Machine Learning , vol.42 , Issue.3 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 19
    • 1442267080 scopus 로고
    • Learning decision lists
    • R.L. Rivest. Learning decision lists. Machine Learning, 2(3): 229-246, 1987.
    • (1987) Machine Learning , vol.2 , Issue.3 , pp. 229-246
    • Rivest, R.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.