Credit risk evaluation with kernel-based affine subspace nearest points learning method

Expert Systems with Applications

Volumn 38, Issue 4, 2011, Pages 4272-4279

  Zhou, Xiaofei ^a,e   Jiang, Wenhan ^b,c   Shi, Yong ^a,d   Tian, Yingjie ^a  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^b INSTITUTE OF FORENSIC SCIENCE   (China)

^c TSINGHUA UNIVERSITY   (China)

^d UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^e Address: No 80 ^*  (China)

Author keywords

Classification; Credit risk; Data mining; Kernel; Subspace; SVM

Indexed keywords

CLASSIFICATION; CREDIT RISK; KERNEL; SUBSPACE; SVM;

CLASSIFICATION (OF INFORMATION); DATA MINING; LEARNING SYSTEMS; OPTIMIZATION; PROFITABILITY; VECTORS;

RISK ASSESSMENT;

EID: 78650685273     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.095     Document Type: Article

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