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Volumn 7042 LNCS, Issue , 2011, Pages 417-424

A minority class feature selection method

Author keywords

feature selection; medical domain; unbalanced data set

Indexed keywords

CLASS DISTRIBUTIONS; CLASSIFICATION PERFORMANCE; F-MEASURE; FEATURE SELECTION ALGORITHM; FEATURE SELECTION METHODS; MEDICAL DOMAINS; PERFORMANCE MEASURE; UNBALANCED DATA;

EID: 81855161434     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25085-9_49     Document Type: Conference Paper
Times cited : (15)

References (15)
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    • Wrapper for Feature Subset Selection
    • Kohavi, R., John, G.H.: Wrapper for Feature Subset Selection. Artificial Intelligence 97(1-2), 273-324 (1997)
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    • Kohavi, R.1    John, G.H.2
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    • Theoretical and Empirical Analysis of ReliefF and RReliefF
    • Robnic-Sikonja, M., Kononenko, I.: Theoretical and Empirical Analysis of ReliefF and RReliefF. Machine Learning 53(1-2), 23-69 (2003)
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  • 7
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    • Feature Subset Selection for Support Vector Machines Through Discriminative Function Pruning Analysis
    • Mao, K.Z.: Feature Subset Selection for Support Vector Machines Through Discriminative Function Pruning Analysis. IEEE Transactions on System, Man and Cybernetics, Part B 34(1), 60-67 (2004)
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    • Mao, K.Z.1
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    • The Class Imbalance Problem: A Systematic Study
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    • FAST: A ROC-based feature selection metric for small samples and imbalanced data classification problems
    • Chen, X., Wasikowski, M.: FAST: A ROC-based feature selection metric for small samples and imbalanced data classification problems. In: 14th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 124-132 (2008)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.