메뉴 건너뛰기




Volumn , Issue , 2011, Pages 537-542

A new evaluation measure for learning from imbalanced data

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE ROC CURVE; BETA DISTRIBUTIONS; EVALUATION MEASURES; IMBALANCED DATA; IMBALANCED DATA SETS; LOGISTIC REGRESSIONS; MISCLASSIFICATION COSTS; SMALL DATA SET; UNDER-SAMPLING; WEIGHT DISTRIBUTIONS;

EID: 80054749130     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2011.6033267     Document Type: Conference Paper
Times cited : (18)

References (23)
  • 1
    • 69549133517 scopus 로고    scopus 로고
    • Measuring classifier performance: A coherent alternative to the area under the ROC curve
    • October
    • D. J. Hand, "Measuring classifier performance: A coherent alternative to the area under the ROC curve," Machine Learning, vol. 77, no. 1, pp. 103-123, October 2009.
    • (2009) Machine Learning , vol.77 , Issue.1 , pp. 103-123
    • Hand, D.J.1
  • 2
    • 27144549260 scopus 로고    scopus 로고
    • 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 Explorations, vol. 6, no. 1, pp. 1-6, 2004.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 1-6
    • Chawla, N.V.1    Japkowicz, N.2    Kotcz, A.3
  • 5
    • 0020083498 scopus 로고
    • The meaning and use of the area under receiver operating characteristics (ROC) curve
    • J. Hanley and B. Mcneil, "The meaning and use of the area under receiver operating characteristics (ROC) curve," Radiology, vol. 143, no. 1, pp. 29-36, 1982.
    • (1982) Radiology , vol.143 , Issue.1 , pp. 29-36
    • Hanley, J.1    McNeil, B.2
  • 6
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • A. P. Bradley, "The use of the area under the ROC curve in the evaluation of machine learning algorithms," Pattern Recognition, vol. 7, no. 30, pp. 1145-1159, 1997.
    • (1997) Pattern Recognition , vol.7 , Issue.30 , pp. 1145-1159
    • Bradley, A.P.1
  • 8
    • 33745886270 scopus 로고    scopus 로고
    • Classifier technology and the illusion of progress
    • Jun
    • D. J. Hand, "Classifier technology and the illusion of progress," Statistical Science, vol. 21, no. 1, pp. 1-14, Jun 2006.
    • (2006) Statistical Science , vol.21 , Issue.1 , pp. 1-14
    • Hand, D.J.1
  • 11
    • 1442356040 scopus 로고    scopus 로고
    • A multiple resampling method for learning from imbalanced data sets
    • A. Estabrooks, T. Jo, and N. Japkowicz, "A multiple resampling method for learning from imbalanced data sets," Computational Intelligence, vol. 20, no. 1, pp. 18-36, 2004.
    • (2004) Computational Intelligence , vol.20 , Issue.1 , pp. 18-36
    • Estabrooks, A.1    Jo, T.2    Japkowicz, N.3
  • 12
    • 64049108468 scopus 로고    scopus 로고
    • Exploratory undersampling for class-imbalance learning
    • April
    • X.-Y. Liu, J. Wu, and Z.-H. Zhou, "Exploratory undersampling for class-imbalance learning," IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 39, no. 2, pp. 539-550, April 2009.
    • (2009) IEEE Transactions on Systems, Man, and Cybernetics , vol.39 , Issue.2 PART B , pp. 539-550
    • Liu, X.-Y.1    Wu, J.2    Zhou, Z.-H.3
  • 22
    • 27144531570 scopus 로고    scopus 로고
    • A study of the behavior of several methods for balancing machine learning training data
    • G. Batista, R. C. Prati, and M. C. Monard, "A study of the behavior of several methods for balancing machine learning training data," SIGKDD Explorations, vol. 6, no. 1, pp. 20-26, 2004.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 20-26
    • Batista, G.1    Prati, R.C.2    Monard, M.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.