Support vector machines for classifying and describing credit applicants: Detecting typical and critical regions

Journal of the Operational Research Society

Volumn 56, Issue 9, 2005, Pages 1082-1088

  Schebesch, K B ^a   Sleeking, R ^a  

^a UNIVERSITY OF BREMEN   (Germany)

Author keywords

Banking; Classification; Finance; Forecasting; Heuristics; Quadratic optimization; Support vector machines

Indexed keywords

FINANCE; FORECASTING; HEURISTIC METHODS; MATHEMATICAL MODELS; OPTIMIZATION; STATISTICAL METHODS;

BANKING; CLASSIFICATION; QUADRATIC OPTIMIZATION; SUPPORT VECTOR MACHINES (SVM);

OPERATIONS RESEARCH;

EID: 24144458623     PISSN: 01605682     EISSN: None     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2602023     Document Type: Article

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