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Volumn 36, Issue 4, 2009, Pages 7562-7566

Prediction model building with clustering-launched classification and support vector machines in credit scoring

Author keywords

Clustering launched classification; Credit scoring; Support vector machine

Indexed keywords

CLASSIFIERS; GEARS; IMAGE RETRIEVAL; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; VECTORS;

EID: 60249096424     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.09.028     Document Type: Article
Times cited : (56)

References (17)
  • 6
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines
    • Friedman J.H. Multivariate adaptive regression splines. The Annals of Statistics 19 (1991) 1-141
    • (1991) The Annals of Statistics , vol.19 , pp. 1-141
    • Friedman, J.H.1
  • 7
    • 34047126555 scopus 로고    scopus 로고
    • Credit scoring with a data mining approach based on support vector machines
    • Hung C.L., Chen M.C., and Wang C.J. Credit scoring with a data mining approach based on support vector machines. Expert Systems with Applications 33 (2007) 847-856
    • (2007) Expert Systems with Applications , vol.33 , pp. 847-856
    • Hung, C.L.1    Chen, M.C.2    Wang, C.J.3
  • 8
    • 84978600970 scopus 로고
    • Multivariate normality and forecasting of business bankruptcy
    • Karels G., and Prakash A. Multivariate normality and forecasting of business bankruptcy. Journal of Business Finance Accounting 14 4 (1987) 573-593
    • (1987) Journal of Business Finance Accounting , vol.14 , Issue.4 , pp. 573-593
    • Karels, G.1    Prakash, A.2
  • 9
    • 0036722310 scopus 로고    scopus 로고
    • Integration of self-organizing feature map and K-means algorithm for market segmentation
    • Kuo R.J., Ho L.M., and Hu C.M. Integration of self-organizing feature map and K-means algorithm for market segmentation. Computers and Operations Research 29 (2002) 1475-1493
    • (2002) Computers and Operations Research , vol.29 , pp. 1475-1493
    • Kuo, R.J.1    Ho, L.M.2    Hu, C.M.3
  • 10
  • 11
    • 0036027367 scopus 로고    scopus 로고
    • Differentiating between good credits and bad credits using neuro-fuzzy systems
    • Malhotra R., and Malhotra D.K. Differentiating between good credits and bad credits using neuro-fuzzy systems. European Journal of Operational Research 136 (2002) 190-211
    • (2002) European Journal of Operational Research , vol.136 , pp. 190-211
    • Malhotra, R.1    Malhotra, D.K.2
  • 12
    • 15944379834 scopus 로고
    • An examination of the conceptual issues involved in developing credit-scoring models
    • Reichert A.K., Cho C.C., and Wagner G.M. An examination of the conceptual issues involved in developing credit-scoring models. Journal of Business and Economic Statistics 1 (1983) 101-114
    • (1983) Journal of Business and Economic Statistics , vol.1 , pp. 101-114
    • Reichert, A.K.1    Cho, C.C.2    Wagner, G.M.3
  • 13
    • 0141912837 scopus 로고    scopus 로고
    • Computer Science Department, AI Unit University of Dortmund
    • Rüping S. MySVM-manual (2000), Computer Science Department, AI Unit University of Dortmund
    • (2000) MySVM-manual
    • Rüping, S.1
  • 14
    • 24144458623 scopus 로고    scopus 로고
    • Support vector machines for classifying and describing credit applicants: Detecting typical and critical regions
    • Schebesch K.B., and Stecking R. Support vector machines for classifying and describing credit applicants: Detecting typical and critical regions. Journal of the Operational Research Society 56 9 (2005) 1082-1088
    • (2005) Journal of the Operational Research Society , vol.56 , Issue.9 , pp. 1082-1088
    • Schebesch, K.B.1    Stecking, R.2
  • 15
    • 0001466281 scopus 로고    scopus 로고
    • A survey of credit and behavioral scoring: Forecasting financial risks of lending to customers
    • Thomas L.C. A survey of credit and behavioral scoring: Forecasting financial risks of lending to customers. International Journal of Forecasting 16 (2000) 149-172
    • (2000) International Journal of Forecasting , vol.16 , pp. 149-172
    • Thomas, L.C.1
  • 17
    • 0034118581 scopus 로고    scopus 로고
    • Neural network credit scoring models
    • West D. Neural network credit scoring models. Computers and Operations Research 27 (2000) 1131-1152
    • (2000) Computers and Operations Research , vol.27 , pp. 1131-1152
    • West, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.