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Volumn 36, Issue 4, 2011, Pages 565-581

Credit risk prediction using support vector machines

Author keywords

Accounting data; Credit risk prediction; Default classification; Estimation of probabilities of default; Support vector machines; Training sample size

Indexed keywords


EID: 79955473236     PISSN: 0924865X     EISSN: 15737179     Source Type: Journal    
DOI: 10.1007/s11156-010-0190-3     Document Type: Article
Times cited : (35)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.