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

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.

References

  1. Data Mining and Knowledge Discovery v.5 Expert-Driven Validation of Rule-Based User Models in personalization Application Adomavicius,G.;A.Tuzhilin
  2. Proceedings of the Fifth ACM SIGKDD International Conferecne on Knowledge Discovery and Data Mining User Profiling in Personalization Applications through Rule Discovery and Validation Adomavicius,G.;A.Tuzhilin, A.
  3. ICDE-98 Online Generation of Association Rules Aggarwal,C.;P.Yu
  4. Proceedings of the 20th International Conference on VLDB Fast Algorithms for Mining Association Ruless Agrawal,R.;R.Srikant
  5. Advances in Knowledge Discovery and Data Mining Fast Discovery of Association Rles Agrawal,R.;H.Mannila;R.Srikant
  6. Proceedings of the 1993 ACM SIGMOD conference Mining Association Rules between Sets of Items in Large Database Agrwal,R.;T.Imielinski;A.Swami
  7. An Introduction to Multivariate Statistical Analysis Anderson,T.
  8. Advances in Knowledge Discovery and Data Mining The Process of Knowledge Discovery in Databases: A Human-centered Approach Brachman,R.J.;T.Anand
  9. Classification and Regression Trees Breiman,L.;J.H.Freidman;R.Olson;C.Stone
  10. Business Credit v.1 The Importance of Credit Scoring Models in Improving Cash Flow and Collections Brill,J.
  11. SIGMOD-97 Dynamics Internet Counting and Implication Rules for Market Basket Data Brin,S.;R.Motwani;J.Ullman;S.Tsur
  12. International Journal of Intelligent Systems in Accounting, Finance and Management v.6 no.3 A Case-based Reasoning Appproach to Bankruptcy Prediction Modeling Bryant,S.M.
  13. AI Expert v.9 no.2 Mining for Financial Knowledge with CBR Buta,P.
  14. Expert Systems with Application v.24 Credit Scoring and Rejected Instances Reassigning through Evolutionary Computation Techniques Chen,M.C.;S.H.Huang
  15. Expert Systems with Applications Goal-Oriented Sequental Pattern for Network Banking Churn Analysis Chiang,D.A.;Wang,Y.F.;Lee,S.L.;Lin,C.J.
  16. International Journal of Intelligent Systems in Accounting, Finance and Management v.9 no.2 Artificial Neural Networks in Accounting and Finance: Modeling Issues Coakley,J.R.;C.E.Brown;C.E.
  17. Journal of Operational Research Society v.45 no.4 Neural Networks, Decision Tree Induction and Discriminatn Analysis: An Empirical Comparison Curram,S.P.;J.Mingers
  18. IMA Journal of Mathematics Applied in Business and Industry v.4 Machine Learning Algorithms for Credit-Card Applications Davis,R.H.;D.B.Edelman;A.J.Gammerman
  19. IMA Journal of Mathematics Applied in Business and Industry v.8 Credit Scoring Models in the Credit Union Environment Using Neural Networks and Genetic Algorthms Besai,V.S.;J.N.Conway;G.A.Overstreet Jr.
  20. European Journal of Operational Research v.95 A Comparison of Neural Netwroks and Linear Scoring Models in the Credit Union Environment Desai,V.S.;J.N.Crook;G.A.OVerstreet Jr.
  21. Multivariate Analysis Methods and Applications Dillon,W.R.;M.Goldstein
  22. European Journal of Operational Research v.90 no.3 A Survey of Business Failure with an Emphasis on Prediction Methods and Industrial Applications Dimitras,A.I.;S.H.Zanakis;C.Zopounidis;C.
  23. Socio-Economic Planning Sciences v.27 A Credit Scoring Approach for the Commercial Banking Sector Emel,A.B.;M.Oral;A.Reisman;R.Yolalan
  24. OMEGA v.19 no.4 Credit Scoring by Enlarged Discriminant Analysis Falbo,P.
  25. AI Magazine From Data Mining to Knowledge Discovery in Databases Fayyad,U.;G. Piatesky-Shaprio;P,Smyth
  26. Journal of Finance v.40 no.1 Introducting Recursive Partitioning for Financial Classification: the case of Financial Distress Frydman,H.E.;E.I.Altman;D.Kao
  27. VLDB-95 Discovery of Multiple-level Association Rules from Large Databases Han,J.;Y.Fu
  28. Discrimination and Classification Hand,D.J.
  29. Managerial Finance v.18 Using Neural Networks for Credit Scoring Jense,H.L.
  30. Applied Multivariate Statistical Analysis(Fourth Edition) Johnson,R.A.;D.W.Wichern
  31. Proceedings of the Third International Conference on Information and Knowledge Management Finding Interesting Rules from Large Sete Discovered Association Ruless Klemettinen,M.;H.Mannila;P,Ronkaine;H.Toivonen;A.I.Verkamo
  32. Machine Learning v.30 Knowledge-based Learning in Exploratory Science: Learning Ruless to Predict Rodent Carcinogenicity Lee,Y.;B.G.Buchanan;J.M.Aronis;J.M,
  33. Journal of Management Information Systems v.16 Dynamics of Modeling in Data Mining: Interpretive Approach to Bankruptcy Prediction Lee,G.;T.K.Sung;N.Chang;N.
  34. Expert Systems With Applications v.13 Bankruptcy Prediction Using Case-based Reasoning, Neural Networks, and Discriminat Analysis Lee,H.;H.Jo.;I.Han.;I.
  35. Expert Systems with Applications v.23 Credit Scoring using Hybrid Neural Discriminant Technique Lee,T.S.;C.C.Chiu;C.J.Lu;I.F.Chen
  36. Proceedings of the 13th International Conference on Data Engineering Clustering Association Rule Lent,B.;A.N.Swami;J.Widom
  37. AAAI-96 Post-analysis of Learned Rules Liu,B.;W.Hsu
  38. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining Using General Impressions toe Analyze Discovered Classification Rules Liu,B.;W.Hsu;Y.Ma
  39. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining Integrating classification and Association Rule Mining Liu,B.;W.Hsu;Y.Ma
  40. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Mining Association Rules with Multiple Minimum Supports Liu,B.;W.Hsu;Y.Ma
  41. KDD-99 Pruning and Summarizing the Discovered Associations Liu,B.;W.Hsu;Y.Ma
  42. Society for Industrial and Applied Mathematics Credit Scoring and Its Applications Lyn,C.T.;B.D.Edelman;J.N.Crook
  43. European Journal of Operational Research v.136 no.2 Differentiating Between Good Credits and Bad Credits Using Neuro-fuzzy Systems malhotra,R.:D.K.Malhotra;D.K.
  44. Decision Sciences v.26 no.2 Combining Neural Networks and Statistical Predictions to Solve the Classification Problem in Discriminant Analysis Markham,I.S.;C.T.Ragsdale;C.T.
  45. Journal of Banking and Finance v.1 Early Warning of Bank Failure: A Logit Regression Approach Martin,D.
  46. Handbook of Credit Scoring Mays,E.
  47. Multivariate Statistical Methods Morrison,D.F.
  48. SIGMOD-98 Exploratory Mining and Pruning Optimizations of Constrained Associations Rules Ng.R.T.;L.Lakshmanan;J.Han
  49. SIGMOD-95 An Effective Hash Based Algorithm for Mining Association Rules Park,J.S.;M.S.Chen;P.S.Yu
  50. Proceedings of the AAAI-94 Workshop on Knowledge Discovery in Database The Interestingness of Deviations Piatestsky-Shapiro, G.;C.Matheus
  51. AI Magazine no.Fall Progress and Challenge Piatestsky-Shaprio, G.;C.Matheus;P.Smyth;R.Uthurusamy
  52. European Journal of Operational Research v.112 Financial Credit-risk Evaluation with Neural and Neurofuzzy Systems Piramuthu,S.
  53. Tutorial for the Fourth International Conference on Knowledge Discovery and Data Mining Evaluating Knowledge Discovery and Data Mining Provost,F.;D.Jensen,D.
  54. C4.5: Progrmas for Machine Learning Quinlan,J.
  55. ICDE-98 Mining Optimized Association Rules with Categorical and numeric Attributes Rastogi,R.;K.Shim
  56. Journal of Business and Economic Statistics v.1 An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models Reichert,A.K.;C.C.Cho;G.M.Wagner
  57. Proceedings of the Fifthe ACMSIGKDD International Conference of Knowledge Discovery and Data Mining Interestingness via What is not Interesting Sahar,S.
  58. IEEE Transaction on Knowledge and Data Engineering v.8 no.6 What Makes Patterns Interesting in Knowledge Discovery Systems Silberschatz,A.;A.Tuzhilin
  59. Proceeding sof the $21^{st}$ VLDB Conference, Zurich, Switzerland, IBM Research Report RJ 9963 Mining Genaralized Association Rules Srikant,R.;R.Agrawal
  60. Proceedings of the Third International Conference on Knowledge Discovery in Databases and data Mining Mining Associaation Rules with Item Constraints Srikant,R.;Q.Vu;R.Agrawal
  61. Computer World Data Mininf for Fool's Gold Stedman,G.
  62. Management Science v.38 no.7 Managerial Appications of Neural Networks: the Case of Bank Failure Predictions Tam,K.Y.;M.Y.Kiang
  63. ECML-95 Workshop on Statistics, Machine Learning and Knowledge Discovery in Databses Pruning and Grouping Discovered Association Rules Toivonen,H.;M.Klemettien;P.Ronkainen;K.Hatonen;H.Mannila
  64. Comuter and Operations Research v.23 no.4 The Potential Use of DEA for Credit Applicant Acceptance Systems Trout,M.D.;A.Rai;A.Zhang
  65. Expert Systems with Application v.17 no.1 Neural Network in Business: A Survey of Applications(1992-1998) Vellido,A.;P.J.G.Lisboa;J.Vaughan
  66. Proceedings of the 14th International Cnference on Knowledge Kiscovery and Data Mining Interestingenss-based Interval merger for numeric Association Rules Wang,K.;S.H.W.Tay;B.Liu
  67. Computer & Operations Research v.27 Neural Network Credit Scorinf Models West,D.
  68. Computers and Operations Research v.27 Neural Network Credit Scoring Models West,D.
  69. Wizwhy version 4 User's Gudie Wizsoft Inc.
  70. KDD-97 Computing Optimized Rectilinear Regions for Association Rules Yoda,K.;T.Fukuda;Y.Morimoto;S.Morishita;T.Tokuyama
  71. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews v.30 no.4 Neural Networks for Classification: A Survey Zhang,G.P.