Rough set and scatter search metaheuristic based feature selection for credit scoring

Expert Systems with Applications

Volumn 39, Issue 6, 2012, Pages 6123-6128

  Wang, Jue ^a   Hedar, Abdel Rahman ^b   Wang, Shouyang ^a   Ma, Jian ^c  

^a CHINESE ACADEMY OF SCIENCES   (China)

^b Assiut University   (Egypt)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Credit scoring; Feature selection; Meta heuristics; Rough set; Scatter search

Indexed keywords

CASH FLOW; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; COMPUTATIONAL COSTS; CONDITIONAL ENTROPY; CREDIT MODEL; CREDIT SCORING; CREDIT SCORING MODEL; DATA SETS; FEATURE SELECTION METHODS; FINANCIAL INDUSTRY; LOGISTIC REGRESSIONS; META HEURISTICS; METAHEURISTIC; NEURAL NETWORK MODEL; OPTIMAL SOLUTIONS; REDUNDANT INFORMATIONS; ROUGH SET; SCATTER SEARCH;

DECISION TREES; NEURAL NETWORKS; ROUGH SET THEORY; TREES (MATHEMATICS);

FEATURE EXTRACTION;

EID: 84856536378     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.011     Document Type: Article

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