Title :
Consumer credit scoring using an artificial immune system algorithm
Author :
Leung, Kevin ; Cheong, France ; Cheong, Christopher
Author_Institution :
RMIT Univ., Melbourne
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;
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
DOI :
10.1109/CEC.2007.4424908