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Volumn 2709, Issue , 2003, Pages 317-325

Ensemble methods for noise elimination in classification problems

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION TREES; INDUCTIVE LOGIC PROGRAMMING (ILP); TREES (MATHEMATICS);

EID: 33746071857     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44938-8_32     Document Type: Article
Times cited : (136)

References (13)
  • 1
    • 0032069371 scopus 로고    scopus 로고
    • Top-down induction of first order logical decision trees
    • H. Blockeel and L. De Raedt. Top-down induction of first order logical decision trees. Artificial Intelligence, 101(1-2):285-297, 1998.
    • (1998) Artificial Intelligence , vol.101 , Issue.1-2 , pp. 285-297
    • Blockeel, H.1    De Raedt, L.2
  • 4
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • J. Kittler and F. Roli, editors, Multiple Classifier Systems, First International Workshop, Springer
    • T.G. Dietterich. Ensemble methods in machine learning. In J. Kittler and F. Roli, editors, Multiple Classifier Systems, First International Workshop, volume 1857 of Lecture Notes in Computer Science, pages 1-15. Springer, 2000.
    • (2000) Lecture Notes in Computer Science , vol.1857 , pp. 1-15
    • Dietterich, T.G.1
  • 5
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T.G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning, 40(2):139-157, 2000.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 139-157
    • Dietterich, T.G.1
  • 7
    • 0034143132 scopus 로고    scopus 로고
    • Noise detection and elimination in data preprocessing: Experiments in medical domains
    • D. Gamberger, N. Lavrač, and S. Džeroski. Noise detection and elimination in data preprocessing: experiments in medical domains. Applied Artificial Intelligence, 14:205-223, 2000.
    • (2000) Applied Artificial Intelligence , vol.14 , pp. 205-223
    • Gamberger, D.1    Lavrač, N.2    Džeroski, S.3
  • 10
    • 0004342330 scopus 로고
    • Inductive inference of VL decision rules
    • Paper presented at Workshop in Pattern-Directed Inference Systems, Hawaii, ACM
    • R.S. Michalski and J.B. Larson. Inductive inference of VL decision rules. Paper presented at Workshop in Pattern-Directed Inference Systems, Hawaii, 1977. SIGART Newsletter, ACM, 63, 38-44.
    • (1977) SIGART Newsletter , vol.63 , pp. 38-44
    • Michalski, R.S.1    Larson, J.B.2
  • 11
  • 12
    • 35048892018 scopus 로고    scopus 로고
    • Identifying mislabeled training examples in ILP classification problems
    • M. Wiering and W. de Back, editors
    • S. Verbaeten. Identifying mislabeled training examples in ILP classification problems. In M. Wiering and W. de Back, editors, Twelfth Dutch-Belgian Conference on Machine Learning, pages 1-8, 2002.
    • (2002) Twelfth Dutch-Belgian Conference on Machine Learning , pp. 1-8
    • Verbaeten, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.