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Volumn 2, Issue , 2008, Pages 65-69

A hybrid re-sampling method for svm learning from imbalanced data sets

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION FIELDS; GENERALIZATION ABILITIES; IMBALANCED DATA SETS; INFORMATION LOSSES; INTRINSIC FACTORS; NN RULES; RE SAMPLINGS; SOM CLUSTERING; TRAINING SETS;

EID: 58049196516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2008.407     Document Type: Conference Paper
Times cited : (24)

References (12)
  • 2
    • 30044442775 scopus 로고    scopus 로고
    • Solving the Problem of Imbalanced Dataset in the Prediction of Membrane Protein Types Based on Weighted SVM
    • Liu Guo-ping, Yao Li-xiu and Yang Jie, Solving the Problem of Imbalanced Dataset in the Prediction of Membrane Protein Types Based on Weighted SVM, Journal of Shanghai Jiaotong University, 2005, pp. 1676-1684.
    • (2005) Journal of Shanghai Jiaotong University , pp. 1676-1684
    • Liu, G.-P.1    Yao, L.-X.2    Jie, Y.3
  • 4
    • 0031998121 scopus 로고    scopus 로고
    • Machine learning for the detection of oil spills in satellite radar images
    • Kubat, M., Holte, R. and Matwin, S. Machine learning for the detection of oil spills in satellite radar images, Machine Learning, 1998, pp. 195-215.
    • (1998) Machine Learning , pp. 195-215
    • Kubat, M.1    Holte, R.2    Matwin, S.3
  • 7
    • 33748703358 scopus 로고    scopus 로고
    • Edge detection based on least squares support vector machines
    • Liu Han, Guo Yong, et al. Edge detection based on least squares support vector machines, Acta Electronica Sinica, 2007, 34(7) pp. 1275-1279.
    • (2007) Acta Electronica Sinica , vol.34 , Issue.7 , pp. 1275-1279
    • Han, L.1    Yong, G.2
  • 8
    • 27144531570 scopus 로고    scopus 로고
    • A study of the behavior of several methods for balancing machine learning training data
    • Batista, G.; Prati, M., and Monard, M. A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explorations 2004.6(1) pp.20-29.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 20-29
    • Batista, G.1    Prati, M.2    Monard, M.3
  • 9
    • 1442356040 scopus 로고    scopus 로고
    • A multiple resampling method for learning from imbalanced data sets
    • Estabrooks A, Jo TH, Japkowicz N. A multiple resampling method for learning from imbalanced data sets. Computational Intelligence, 2004,20(1). pp.18-36.
    • (2004) Computational Intelligence , vol.20 , Issue.1 , pp. 18-36
    • Estabrooks, A.1    Jo, T.H.2    Japkowicz, N.3
  • 10
    • 2242481419 scopus 로고    scopus 로고
    • Learning from imbalanced data sets: A comparison of various strategies
    • Japkowicz, N. Learning from imbalanced data sets: A comparison of various strategies. In Proceedings of Learning from Imbalanced Data, 2000. pp.10-15.
    • (2000) In Proceedings of Learning from Imbalanced Data , pp. 10-15
    • Japkowicz, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.