메뉴 건너뛰기




Volumn 7819 LNAI, Issue PART 2, 2013, Pages 280-292

An optimized cost-sensitive SVM for imbalanced data learning

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; COST-SENSITIVE LEARNING; COST-SENSITIVE SVM; EVALUATION MEASURES; INTRINSIC PARAMETERS; MISCLASSIFICATION COSTS; OBJECTIVE FUNCTIONS; SAMPLING TECHNIQUE;

EID: 84893568690     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37456-2_24     Document Type: Conference Paper
Times cited : (145)

References (21)
  • 3
    • 50549087624 scopus 로고    scopus 로고
    • Cost-sensitive learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
    • Weiss, G., McCarthy, K., Zabar, B.: Cost-sensitive learning vs. sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs? In: IEEE ICDM, pp. 35-41 (2007)
    • (2007) IEEE ICDM , pp. 35-41
    • Weiss, G.1    McCarthy, K.2    Zabar, B.3
  • 8
    • 1442275185 scopus 로고    scopus 로고
    • Learning when training data are costly: The effect of class distribution on tree induction
    • Weiss, G., Provost, F.: Learning when training data are costly: the effect of class distribution on tree induction. J. Artif. Intel. Res., 19:315-19:354 (2003)
    • (2003) J. Artif. Intel. Res.
    • Weiss, G.1    Provost, F.2
  • 9
    • 31344442851 scopus 로고    scopus 로고
    • Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
    • Zhou, Z.H., Liu, X.Y.: 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
  • 10
    • 67049152595 scopus 로고    scopus 로고
    • Boosting for Learning Multiple Classes with Imbalanced Class Distribution
    • Sun, Y., Kamel, M.S., Wang, Y.: Boosting for Learning Multiple Classes with Imbalanced Class Distribution. In: Proc. Int'l Conf. Data Mining, pp. 592-602 (2006)
    • (2006) Proc. Int'l Conf. Data Mining , pp. 592-602
    • Sun, Y.1    Kamel, M.S.2    Wang, Y.3
  • 13
    • 2942731012 scopus 로고    scopus 로고
    • An Extensive Empirical Study of Feature Selection Metrics for Text Classification
    • Forman, G.: An Extensive Empirical Study of Feature Selection Metrics for Text Classification. J. Machine Learning Research 3, 1289-1305 (2003)
    • (2003) J. Machine Learning Research , vol.3 , pp. 1289-1305
    • Forman, G.1
  • 14
    • 16644402628 scopus 로고    scopus 로고
    • Feature selection for text categorization on imbalanced data
    • Zheng, Z., Wu, X., Srihari, R.: Feature selection for text categorization on imbalanced data. SIGKDD Explorations 6(1), 80-89 (2004)
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 80-89
    • Zheng, Z.1    Wu, X.2    Srihari, R.3
  • 21
    • 9444297357 scopus 로고    scopus 로고
    • SMOTEBoost: Improving Prediction of the Minority Class in Boosting
    • Knowledge Discovery in Databases: PKDD 2003
    • Chawla, N.V., Lazarevic, A., Hall, L.O., Bowyer, K.W.: SMOTEBoost: Improving Prediction of the Minority Class in Boosting. In: Lavraè, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) PKDD 2003. LNCS (LNAI), vol. 2838, pp. 107-119. Springer, Heidelberg (2003) (Pubitemid 37231089)
    • (2003) LECTURE NOTES IN COMPUTER SCIENCE , Issue.2838 , pp. 107-119
    • Chawla, N.V.1    Lazarevic, A.2    Hall, L.O.3    Bowyer, K.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.