Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases

  • Lee, Young-Chan (Institute for Business Research, Sogang University) ;
  • Shin, Soo-Il (MetLife Insurance Co. of Korea, Ltd. Marketing team)
  • Published : 2003.11.01


Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules as a rule generating data mining technique. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by association rule mining. We expect that the sets of rules generated by association rule mining could act as an estimator of good or bad credit status classifier and basic component of early warning system.


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