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Volumn 1, Issue , 2007, Pages 15-18

A comparison study of credit scoring models

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GENETIC PROGRAMMING; NEURAL NETWORKS; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 38049041567     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.15     Document Type: Conference Paper
Times cited : (28)

References (15)
  • 1
    • 0001466281 scopus 로고    scopus 로고
    • A survey of credit and behavioural scoring: Forecasting financial risk of lending to consumers
    • Thomas, L. C. A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers. International Journal of Forecasting, 2000,16 (2), 149-172.
    • (2000) International Journal of Forecasting , vol.16 , Issue.2 , pp. 149-172
    • Thomas, L.C.1
  • 4
    • 0030291564 scopus 로고    scopus 로고
    • V. Desai, J. Crook, G. Overstreet, A comparison of neural networks and linear scoring models in credit union environment, European Journal of Operations Management, 1996, 95 (1) 24-37.
    • V. Desai, J. Crook, G. Overstreet, A comparison of neural networks and linear scoring models in credit union environment, European Journal of Operations Management, 1996, 95 (1) 24-37.
  • 5
    • 0034118581 scopus 로고    scopus 로고
    • Neural network credit scoring models
    • West, D. Neural network credit scoring models. Computers and Operations Research, 2000,27 (11-12), 1131-1152.
    • (2000) Computers and Operations Research , vol.27 , Issue.11-12 , pp. 1131-1152
    • West, D.1
  • 6
    • 2442665617 scopus 로고    scopus 로고
    • Credit rating analysis with support vector machines and neural networks: A market comparative study
    • Huang, Z., Chen, H., Hsu, C.-J., Chen, W.-H., & Wu, S. Credit rating analysis with support vector machines and neural networks: a market comparative study. Decision Support Systems, 2004, 37(4),543-558.
    • (2004) Decision Support Systems , vol.37 , Issue.4 , pp. 543-558
    • Huang, Z.1    Chen, H.2    Hsu, C.-J.3    Chen, W.-H.4    Wu, S.5
  • 8
    • 30344453065 scopus 로고    scopus 로고
    • A New Fuzzy Support Vector Machine to Evaluate Credit Risk
    • Yongqiao Wang, Shouyang Wang, and K. K. Lai.A New Fuzzy Support Vector Machine to Evaluate Credit Risk, IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2005, 13(6).
    • (2005) IEEE TRANSACTIONS ON FUZZY SYSTEMS , vol.13 , Issue.6
    • Wang, Y.1    Wang, S.2    Lai, K.K.3
  • 9
    • 17844388095 scopus 로고    scopus 로고
    • Hybrid mining approach in the design of credit scoring models
    • Hsieh, N.-C. Hybrid mining approach in the design of credit scoring models. Expert Systems with Applications, 2005, 28(4), 655-665.
    • (2005) Expert Systems with Applications , vol.28 , Issue.4 , pp. 655-665
    • Hsieh, N.-C.1
  • 10
    • 33644600030 scopus 로고    scopus 로고
    • Jih-Jeng Huang, Gwo-Hshiung Tzeng,Chorng-Shyong Ong. Two-stage genetic programming (2SGP) for the credit scoring model.Applied Mathematics and Computation, 2006,174, 1039-1053
    • Jih-Jeng Huang, Gwo-Hshiung Tzeng,Chorng-Shyong Ong. Two-stage genetic programming (2SGP) for the credit scoring model.Applied Mathematics and Computation, 2006,174, 1039-1053
  • 11
    • 25144496487 scopus 로고    scopus 로고
    • A Hybrid Mining Model Based on Neural Network and Kernel Smoothing Technique
    • Defu Zhang, Qingshan Jiang, and Xin Li. A Hybrid Mining Model Based on Neural Network and Kernel Smoothing Technique. Lecture Notes in Computer Science.2005, 3516:801-805.
    • (2005) Lecture Notes in Computer Science , vol.3516 , pp. 801-805
    • Zhang, D.1    Jiang, Q.2    Li, X.3
  • 13
    • 38049079823 scopus 로고    scopus 로고
    • Building Behavior Scoring Model Using Genetic Algorithm and Support Vector Machines
    • To be printed
    • Defu Zhang, Qingshan Chen, Lijun Wei. Building Behavior Scoring Model Using Genetic Algorithm and Support Vector Machines. International Conference on Computational Science 2007. To be printed.
    • (2007) International Conference on Computational Science
    • Zhang, D.1    Chen, Q.2    Wei, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.