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Volumn , Issue , 2007, Pages 3-14

A general framework for mining concept-drifting data streams with skewed distributions

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; STOCHASTIC SYSTEMS;

EID: 70449102582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972771.1     Document Type: Conference Paper
Times cited : (201)

References (17)
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    • A study of the behavior of several methods for balancing machine learning training data
    • G. E. A. P. A. Batista, R. C. Prati, and M. C. Monard. A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor. Newsl,6(1), 2004.
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    • Editorial: Special issue on learning from imbalanced data sets
    • N. V. Chawla, N. Japkowicz, and A. Kotcz. Editorial: special issue on learning from imbalanced data sets. SIGKDD Explor. Newsl,6(1), 2004.
    • (2004) SIGKDD Explor. Newsl , Issue.1 , pp. 6
    • Chawla, N.V.1    Japkowicz, N.2    Kotcz, A.3
  • 7
    • 85084773931 scopus 로고    scopus 로고
    • Systematic data selection to mine concept-drifting data streams
    • W. Fan. Systematic data selection to mine concept-drifting data streams. In Proc. of KDD '04-
    • Proc. of KDD '04
    • Fan, W.1
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    • T. Hastie, R.Tibshirani, J. Friedman.The Elements of Statistical Learning.Springer-Verlag,2001.
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    • K. Turner and J. Ghosh.Analysis of decision boundaries in linearly combined neural classifiers.Pattern Recognition,29(2),1996.
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    • Turner, K.1    Ghosh, J.2
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    • 70449130662 scopus 로고    scopus 로고
    • Mining concept-drifting data streams using ensemble classifiers
    • H. Wang, W. Fan, P. S. Yu, and J. Han. Mining concept-drifting data streams using ensemble classifiers. In Proc. of KDD 'OS,2003.
    • (2003) Proc. of KDD 'OS
    • Wang, H.1    Fan, W.2    Yu, P.S.3    Han, J.4
  • 15
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    • The effect of class distribution on classifier learning
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.