Consumer credit scoring using an artificial immune system algorithm

被引:8
|
作者
Leung, Kevin [1 ]
Cheong, France [1 ]
Cheong, Christopher [1 ]
机构
[1] RMIT Univ, Sch Business IT, Melbourne, Vic, Australia
来源
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS | 2007年
关键词
D O I
10.1109/CEC.2007.4424908
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Credit scoring has become a very important task in the credit industry and its use has increased at a phenomenal speed through the mass issue of credit cards since the 1960s. This paper compares the performance of current classifiers against an artificial intelligence technique based on the natural immune system, named simple artificial immune system (SAIS). Experiments were performed on three benchmark credit datasets and SAIS was found to be a very competitive classifier.
引用
收藏
页码:3377 / 3384
页数:8
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