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
Link To Document :
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