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Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases
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Young-Chan Lee (Institute for Business Research, Sogang University)
Soo-Il Shin (Marketing team, MetLife Insurance Co. of Korea)
Vol. 9, No. 2, Page: 135 ~ 154
Keywords
Association rules, credit scoring system
Abstract
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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Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases
이영찬 (서강대학교 경영연구소)
신수일 (한국 메트라이프 보험회사, 마케팅팀)
Cite this article
JIIS Style
Lee, Y.-C., and S.-I. Shin, "Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases", Journal of Intelligence and Information Systems, Vol. 9, No. 2 (2003), 135~154.

IEEE Style
Young-Chan Lee, and Soo-Il Shin, "Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases", Journal of Intelligence and Information Systems, vol. 9, no. 2, pp. 135~154, 2003.

ACM Style
Lee, Y.-C., and Shin, S.-I., 2003. Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases. Journal of Intelligence and Information Systems. 9, 2, 135--154.
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@article{Lee:JIIS:2003:170,
author = {Lee, Young-Chan and Shin, Soo-Il},
title = {Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases},
journal = {Journal of Intelligence and Information Systems},
issue_date = {November 2003},
volume = {9},
number = {2},
month = Nov,
year = {2003},
issn = {2288-4866},
pages = {135--154},
url = {},
doi = {},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Association rules and credit scoring system },
}
%0 Journal Article
%1 170
%A Young-Chan Lee
%A Soo-Il Shin
%T Mining Association Rules of Credit Card Delinquency of Bank Customers in Large Databases
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 9
%N 2
%P 135-154
%D 2003
%R
%I Korea Intelligent Information System Society