한국산학기술학회:학술대회논문집 (Proceedings of the KAIS Fall Conference)
- 한국산학기술학회 2003년도 Proceeding
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- Pages.149-154
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- 2003
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.)
- 발행 : 2003.11.01
초록
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 that ore generating method. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by using association rules. We expect that the sets of rules generated by association rules could act as an estimator of good or bad credit status classifier.