• DocumentCode
    2449625
  • Title

    Research on Credit Card Fraud Detection Model Based on Distance Sum

  • Author

    Yu, Wen-Fang ; Wang, Na

  • Author_Institution
    Comput. Sci. & Inf. Eng. Coll., Zhejiang Gongshang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    Along with increasing credit cards and growing trade volume in China, credit card fraud rises sharply. How to enhance the detection and prevention of credit card fraud becomes the focus of risk control of banks. This paper proposes a credit card fraud detection model using outlier detection based on distance sum according to the infrequency and unconventionality of fraud in credit card transaction data, applying outlier mining into credit card fraud detection. Experiments show that this model is feasible and accurate in detecting credit card fraud.
  • Keywords
    bank data processing; credit transactions; data mining; fraud; risk analysis; security of data; smart cards; bank risk control; credit card fraud detection model; credit card fraud prevention; credit card transaction data; distance sum; outlier detection; outlier mining; Artificial intelligence; Computer science; Credit cards; Data analysis; Data mining; Database systems; Detection algorithms; Educational institutions; Nearest neighbor searches; Statistical distributions; credit card; distance sum; fraud detection; outlier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.146
  • Filename
    5159014