• Title of article

    Estimating the utility value of individual credit card delinquents

  • Author/Authors

    Chung، نويسنده , , Suk-Hoon and Suh، نويسنده , , YongMoo and Ahn، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    7
  • From page
    3975
  • To page
    3981
  • Abstract
    Excessive issue of credit cards has contributed to increased credit card delinquencies, which have become a burden for credit card companies. In such a negative situation, companies should build and use models to estimate maximum profits from credit card delinquents. However, traditional classification models used to classify customers into good or bad groups are not useful in estimating profits from credit card delinquents. Therefore, this paper suggests two models to estimate the utility value of individual credit card delinquents. After showing that the best classification model does not necessarily result in the best utility model, we explain a model that could be used to estimate utility value of individual credit card delinquents. Such models are expected to give much more value to the credit card companies than the traditional classification models.
  • Keywords
    Utility data mining , Credit classification model , Decision tree , NEURAL NETWORKS , Credit card transaction data
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2009
  • Journal title
    Expert Systems with Applications
  • Record number

    2345640