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Volumn , Issue , 2006, Pages 970-974

The influence of class imbalance on cost-sensitive learning: An empirical study

Author keywords

[No Author keywords available]

Indexed keywords

CLASS-IMBALANCED TASKS; COST-SENSITIVE CLASSIFIERS; MISCLASSIFICATION COSTS;

EID: 84878098426     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2006.158     Document Type: Conference Paper
Times cited : (254)

References (15)
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    • Department of Information and Computer Science, University of California, Irvine, CA
    • C. Blake, E. Keogh, and C. J. Merz. UCI repository of machine learning databases, [http://www.ics.uci.edu/~mlearn/MLRepository.html], Department of Information and Computer Science, University of California, Irvine, CA, 1998.
    • (1998) UCI repository of machine learning databases
    • Blake, C.1    Keogh, E.2    Merz, C.J.3
  • 2
    • 85083464467 scopus 로고    scopus 로고
    • Toward scalable learning with nonuniform class and cost distributions: A case study in credit card fraud detection
    • New York, NY
    • P. Chan and S. Stolfo. Toward scalable learning with nonuniform class and cost distributions: A case study in credit card fraud detection. In Proceeding of the 4th International Conference on Knowledge Discovery and Data Mining, pages 164-168, New York, NY, 1998.
    • (1998) Proceeding of the 4th International Conference on Knowledge Discovery and Data Mining , pp. 164-168
    • Chan, P.1    Stolfo, S.2
  • 3
    • 27144549260 scopus 로고    scopus 로고
    • Editorial to the special issue on learning from imbalanced data sets
    • 61, 6
    • N. V. Chawla, N. Japkowicz, and A. Kotcz. Editorial to the special issue on learning from imbalanced data sets. ACM SIGKDD Explorations, 6(1): -6, 2004.
    • (2004) ACM SIGKDD Explorations
    • Chawla, N.V.1    Japkowicz, N.2    Kotcz, A.3
  • 10
    • 0036565589 scopus 로고    scopus 로고
    • An instance-weighting method to induce costsensitive trees
    • K. M. Ting. An instance-weighting method to induce costsensitive trees. IEEE Transactions on Knowledge and Data Engineering, 14(3):659-665, 2002.
    • (2002) IEEE Transactions on Knowledge and Data Engineering , vol.14 , Issue.3 , pp. 659-665
    • Ting, K.M.1
  • 11
    • 1442275185 scopus 로고    scopus 로고
    • Learning when training data are costly: The effect of class distribution on tree induction
    • G. Weiss and F. Provost. Learning when training data are costly: The effect of class distribution on tree induction. Joural of Artificial Intelligence Research, 19:315-354, 2003.
    • (2003) Joural of Artificial Intelligence Research , vol.19 , pp. 315-354
    • Weiss, G.1    Provost, F.2
  • 12
    • 20844458491 scopus 로고    scopus 로고
    • Mining with rarity - problems and solutions: A unifying framework
    • G. M. Weiss. Mining with rarity - problems and solutions: A unifying framework. SIGKDD Explorations, 6(1):7-19, 2004.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 7-19
    • Weiss, G.M.1
  • 15
    • 31344442851 scopus 로고    scopus 로고
    • Training cost-sensitive neural networks with methods addressing the class imbalance problem
    • Z.-H. Zhou and X.-Y. Liu. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data Engineering, 18(1):63-77, 2006.
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , Issue.1 , pp. 63-77
    • Zhou, Z.-H.1    Liu, X.-Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.