• DocumentCode
    2161659
  • Title

    Application of Data Mining in Preventing Credit Card Fraud

  • Author

    Ma, Haiying ; Li, Xin

  • Author_Institution
    Dept. of Manage. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    By investigating historical data from customers of credit card in a commercial bank, this paper points out the possibility of use genetic algorithms in preventing credit card fraud and give support to bank in dealing with this kind of problem. We demonstrate through real case analysis that using the identification model of genetic algorithm generates ideal accuracy identification result. The results are very satisfactory; use method of genetic algorithm in preventing credit card fraud proved applicability and effectiveness.
  • Keywords
    banking; credit transactions; data mining; genetic algorithms; accuracy identification; commercial bank; credit card fraud; data mining; genetic algorithms; Algorithm design and analysis; Business; Credit cards; Data engineering; Data mining; Design optimization; Engineering management; Genetic algorithms; Genetic engineering; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5304330
  • Filename
    5304330