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Volumn , Issue , 2001, Pages 233-240

Using rough sets theory and database operations to construct a good ensemble of classifiers for data mining applications

Author keywords

[No Author keywords available]

Indexed keywords


EID: 4544223395     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (63)

References (24)
  • 2
    • 0030235637 scopus 로고    scopus 로고
    • Error Reduction through Learning Multiple Description
    • Ali, K.M. and Pazziani, M.J., Error Reduction through Learning Multiple Description Machine Learning, 24(3), 173-202
    • Machine Learning , vol.24 , Issue.3 , pp. 173-202
    • Ali, K.M.1    Pazziani, M.J.2
  • 3
    • 0001931577 scopus 로고    scopus 로고
    • An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
    • Bauer E., Kohavi R., An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants, Machine Learning, 1998
    • (1998) Machine Learning
    • Bauer, E.1    Kohavi, R.2
  • 7
    • 0001823341 scopus 로고    scopus 로고
    • An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
    • Dietterich T.G., An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization, Machine Learning, 1998
    • (1998) Machine Learning
    • Dietterich, T.G.1
  • 8
    • 0003642109 scopus 로고    scopus 로고
    • Tech. Report CS97-557, Dept. of Computer Science, Univ. of California, San Diego
    • Elkan C., Boosting and Naive Bayesian Learning, Tech. Report CS97-557, Dept. of Computer Science, Univ. of California, San Diego
    • Boosting and Naive Bayesian Learning
    • Elkan, C.1
  • 11
    • 33846968292 scopus 로고    scopus 로고
    • Data Mining via Generalization, Discretization and Rough Set Feature Selection, Knowledge and Information System
    • Hu X., and Cercone N., Data Mining via Generalization, Discretization and Rough Set Feature Selection, Knowledge and Information System: An International Journal, Vol. 1 No. 1, 1999
    • (1999) An International Journal , vol.1 , Issue.1
    • Hu, X.1    Cercone, N.2
  • 15
    • 0031681727 scopus 로고    scopus 로고
    • New Techniques for Data Reduction in a Database System for Knowledge Discovery Applications
    • Kumar A., New Techniques for Data Reduction in a Database System for Knowledge Discovery Applications, Journal of Intelligent Information Systems, 10(3)
    • Journal of Intelligent Information Systems , vol.10 , Issue.3
    • Kumar, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.