• 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