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Volumn 1910, Issue , 2000, Pages 34-43

Confirmation rule sets

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION MAKING;

EID: 84974715602     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_4     Document Type: Conference Paper
Times cited : (16)

References (17)
  • 2
    • 0030235637 scopus 로고    scopus 로고
    • Error reduction through learning multiple descriptions
    • K.M. Ali and M.J. Pazzani (1996) Error reduction through learning multiple descriptions. Machine Learning, 24: 173-206.
    • (1996) Machine Learning , vol.24 , pp. 173-206
    • Ali, K.M.1    Pazzani, M.J.2
  • 3
    • 0000391037 scopus 로고
    • Majority systems and the Concorcet jury theorem
    • P.J.Boland (1989) Majority systems and the Concorcet jury theorem. Statistician, 38: 181-189.
    • (1989) Statistician , vol.38 , pp. 181-189
    • Boland, P.J.1
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman (1996) Bagging predictors. Machine Learning 24(2): 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 8
    • 0031363185 scopus 로고    scopus 로고
    • Machine learning improves the accuracy of coronary artery disease diagnostic methods
    • C. Grošelj, M. Kukar, J.J. Fetich and I. Kononenko (1997) Machine learning improves the accuracy of coronary artery disease diagnostic methods. Computers in Cardiology, 24: 57-60.
    • (1997) Computers in Cardiology , vol.24 , pp. 57-60
    • Grošelj, C.1    Kukar, M.2    Fetich, J.J.3    Kononenko, I.4
  • 9
    • 0030365938 scopus 로고    scopus 로고
    • Error correlation and error reduction in ensemble classiérs
    • T.Kagan and J. Ghosh (1996) Error correlation and error reduction in ensemble classiérs. Connection Science, 8: 385-404.
    • (1996) Connection Science , vol.8 , pp. 385-404
    • Kagan, T.1    Ghosh, J.2
  • 11
    • 0011958443 scopus 로고    scopus 로고
    • Analysing and improving the diagnosis of ischaemic heart disease with machine learning
    • special issue on Data Mining Techniques and Applications in Medicine, Elsevier
    • M. Kukar, I. Kononenko, C. Grošelj, K. Kralj, J.J. Fettich (1998) Analysing and improving the diagnosis of ischaemic heart disease with machine learning. Artificial Intelligence in Medicine, special issue on Data Mining Techniques and Applications in Medicine, Elsevier.
    • (1998) Artificial Intelligence in Medicine
    • Kukar, M.1    Kononenko, I.2    Grošelj, C.3    Kralj, K.4    Fettich, J.J.5
  • 14
    • 85005299854 scopus 로고
    • The multi-purpose incre-mental learning system AQ15 and its testing application on three medical domains
    • Morgan Kaufmann
    • R.S. Michalski, I. Mozetič, J. Hong, and N. Lavrač (1986) The multi-purpose incre-mental learning system AQ15 and its testing application on three medical domains. In Proc. Fifth National Conference on Artificial Intelligence, pp. 1041-1045, Morgan Kaufmann.
    • (1986) Proc. Fifth National Conference on Artificial Intelligence , pp. 1041-1045
    • Michalski, R.S.1    Mozetič, I.2    Hong, J.3    Lavrač, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.