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Volumn , Issue , 2010, Pages 195-200

A post-processing strategy for SVM learning from unbalanced data

Author keywords

[No Author keywords available]

Indexed keywords

DATA DISTRIBUTION; FISHER'S DISCRIMINANT; POST PROCESSING; SVM MODEL; UCI DATASETS; UNBALANCED DATA; UNBALANCED DATASETS;

EID: 84887058524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (8)
  • 3
    • 70350565063 scopus 로고    scopus 로고
    • On strategies for imbalanced text classification using SVM: A comparative study
    • A. X. Sun, E. P. Lim, and Y. Liu. On strategies for imbalanced text classification using SVM: A comparative study. Decision Support Systems, 48:191-201, 2009.
    • (2009) Decision Support Systems , vol.48 , pp. 191-201
    • Sun, A.X.1    Lim, E.P.2    Liu, Y.3
  • 7
    • 20844441675 scopus 로고    scopus 로고
    • KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution
    • G. Wu and E. Y. Chang. KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution. IEEE Transactions on Knowledge and Data Engineering, 17(6):786-795, 2005.
    • (2005) IEEE Transactions On Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 786-795
    • Wu, G.1    Chang, E.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.