DocumentCode
2694450
Title
Consumer credit scoring using an artificial immune system algorithm
Author
Leung, Kevin ; Cheong, France ; Cheong, Christopher
Author_Institution
RMIT Univ., Melbourne
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
3377
Lastpage
3384
Abstract
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.
Keywords
artificial intelligence; finance; smart cards; artificial immune system algorithm; artificial intelligence technique; competitive classifier; consumer credit card scoring; Artificial immune systems; Artificial intelligence; Australia; Banking; Credit cards; Finance; Government; Immune system; Operations research; Risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1339-3
Electronic_ISBN
978-1-4244-1340-9
Type
conf
DOI
10.1109/CEC.2007.4424908
Filename
4424908
Link To Document