Multi-Class Support Vector Machine for Credit Scoring

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The general credit scoring model is to solve the two classification problems, but in real life we often encounter multiple classification problems. This paper proposes a multi-class support vector machine, which can solve multiple classification problems in the behavior assessment model.

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Periodical:

Edited by:

Yuning Zhong

Pages:

419-422

Citation:

B. Tang and S. B. Qiu, "Multi-Class Support Vector Machine for Credit Scoring", Applied Mechanics and Materials, Vol. 235, pp. 419-422, 2012

Online since:

November 2012

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$38.00

[1] Thomas L C, Edelman D B, Crook J N. Credit Scoring and Its Application[M]. Society for Industrial and Applied Mathematics, Philadelphia, (2002).

[2] Davis, R. H., Edelman, D.B., Gamerman.J. Machine learning algorithms for credit-card applications[J]. Journal of Mathematics Applied in Business and Industry, 1992, 4: 43-51.

[3] Fogarty TC, Ireson N. Evolving Bayesian classifiers for credit control: a comparison with other machine learning methods[J]. IMA Journal of Mathematics Applied in Business and Industry, 1994. 5: 63-75.

DOI: https://doi.org/10.1093/imaman/5.1.63

[4] Shin K S, Lee T S, Kim H J. An Application of Support Vector Machines in Bankruptcy Prediction Model [J]. Expert Systems with Applications, 2005, 28.

DOI: https://doi.org/10.1016/j.eswa.2004.08.009

[5] V. Vapnik. Statistical Learning Theory[M]. New York: John Wiley & Sons, (1998).

[6] Hsu C W, Lin C J. A comparison of methods for multi-class support vector machines[J]. IEEE Transaction on Neural Networks, 2002, 13: 415-425.

[7] J.A.K. Suykens, J. Vandewalle: Least Squares Support Vector Machine Classifiers. Neural Processing Letters 9(3) (1999) 293-300.