DocumentCode :
175820
Title :
Applications of artificial intelligence technologies in credit scoring: A survey of literature
Author :
Chen, Bing ; Zeng, W. ; Lin, Yashen
Author_Institution :
Software Sch., Xiamen Univ., Xiamen, China
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
658
Lastpage :
664
Abstract :
Credit scoring is becoming a competitive issue with rapid growth and significant advance. Building a satisfactory credit model has attracted lots of researchers in the past decades and it is still one of the hottest research topics in the field of credit industry. This paper emphasizes on surveying the development of the artificial intelligence technologies for solving credit scoring. It covers algorithms including the support vector machines, artificial neural networks, genetic algorithms, genetic programming algorithms and their hybridization.
Keywords :
artificial intelligence; financial data processing; genetic algorithms; neural nets; support vector machines; artificial intelligence technology; artificial neural networks; credit industry; credit scoring; genetic algorithms; genetic programming algorithms; satisfactory credit model; support vector machines; Accuracy; Artificial intelligence; Artificial neural networks; Classification algorithms; Genetic algorithms; Support vector machines; artificial neural networks; credit scoring; genetic algorithms; genetic programming; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
Type :
conf
DOI :
10.1109/ICNC.2014.6975914
Filename :
6975914
Link To Document :
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