Classifying credit ratings for Asian banks using integrating feature selection and the CPDA-based rough sets approach

Knowledge-Based Systems

Volumn 26, Issue , 2012, Pages 259-270

  Chen, You Shyang ^a  

^a HWA HSIA INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Credit ratings; Cumulative probability distribution approach (CPDA); Feature selection; Rough set theory (RST); Rule filter

Indexed keywords

BANKING INDUSTRY; CONDITION ATTRIBUTES; CREDIT RATINGS; CUMULATIVE PROBABILITY DISTRIBUTION APPROACHES; DECISION RULES; DEFAULT PROBABILITIES; GLOBAL ECONOMIC GROWTH; INVESTMENT RISKS; KEY ATTRIBUTES; ROUGH SET; RULE FILTER;

ECONOMICS; FEATURE EXTRACTION; KNOWLEDGE BASED SYSTEMS; PROBABILITY DISTRIBUTIONS; RATING;

ROUGH SET THEORY;

EID: 84155195224     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.08.021     Document Type: Article

References (62)

1. L. An, and L. Tong Rough approximations based on intersection of indiscernibility, similarity and outranking relations Knowledge-Based Systems 23 6 2010 555 562
2. A.L. Blum, and P. Langley Selection of relevant features and examples in machine learning Artificial Intelligence 97 1997 245 271 (Pubitemid 127401106)
3. C.C. Chen A model for customer-focused objective-based performance evaluation of logistics service providers Asia Pacific Journal of Marketing and Logistics 20 3 2008 309 322
4. W.H. Chen, and J.Y. Shih A study of Taiwan's issuer credit rating systems using support vector machines Expert Systems with Applications 30 2006 427 435
5. G.E. Dallal, and L. Wilkinson An analytic approximation to the distribution of Lilliefors' test for normality The American Statistician 40 1986 294 296
6. P. Danenas, G. Garsva, and S. Gudas Credit risk evaluation model development using support vector based classifiers Procedia Computer Science 4 2011 1699 1707
7. M. Dash, K. Choi, P. Scheuermann, H. Liu, Feature selection for clustering - a filter solution, in: Proceeding Second International Conference Data Mining, 2002, pp. 115-122.
8. J.L. Devore Probability and Statistics for Engineering and the Sciences 2004 Duxbury Belmont
9. A. Estrella, S. Park, and S. Peristiani Capital ratios and credit ratings as predictors for bank failures Federal Reserve Bank of New York: Economic Policy Review 2002 33 52
10. H. Fan, A.E. Mark, J. Zhu, and B. Honig Comparative study of generalized Born models: protein dynamics Chemical Theory and Computation Special Feature 102 19 2005 6760 6764 (Pubitemid 40675389)
11. L. Feng, T. Li, D. Ruan, and S. Gou A vague-rough set approach for uncertain knowledge acquisition Knowledge-Based Systems 24 6 2011 837 843
12. R. Florez-Lopez Modelling of insurers' rating determinants: an application of machine learning techniques and statistical models European Journal of Operational Research 183 2007 1488 1512 (Pubitemid 47030752)
13. C. Gaganis, F. Pasiouras, and C. Zopoundis A multicriteria decision framework for measuring banks' soundness around the world Journal of Multi-Criteria Decision Analysis 14 2006 103 111
14. P. Hajek Municipal credit rating modelling by neural networks Decision Support Systems 51 1 2011 108 118
15. R.R. Hashemi, L.A. LeBlanc, and C.T. Rucks A hybrid intelligent system for predicting bank holding structure European Journal of Operational Research 109 1998 390 402 (Pubitemid 128417840)
16. T. Herawan, M.M. Deris, and J.H. Abawajy A rough set approach for selecting clustering attribute Knowledge-Based Systems 23 3 2010 220 231
17. R.C. Holte Very simple classification rules perform well on most commonly used datasets Machine Learning 11 1993 63 91
18. S.C. Huang Using Gaussian process based kernel classifiers for credit rating forecasting Expert Systems with Applications 38 2011 8607 8611
19. Z. Huang, H. Chen, C.J. Hsu, W.H. Chen, and S. Wu Credit rating analysis with support vector machines and neural networks: a market comparative study Decision Support Systems 37 2004 543 558
20. K. Kaneiwa, and Y. Kudo A sequential pattern mining algorithm using rough set theory International Journal of Approximate Reasoning 52 6 2011 881 893
21. J.R. Kuhn, J.F. Courtney, B. Morris, and E.R. Tatara Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines Knowledge-Based Systems 23 8 2010 875 882
22. K. Kumar, and J.D. Haynes Forecasting credit ratings using an ANN and statistical techniques International Journal of Business Studies 11 2003 91 108
23. P. Kumar, P.R. Krishna, R.S. Bapi, and S.K. De Rough clustering of sequential data Data and Knowledge Engineering 63 2007 83 199
24. S. Le Cessie, and J.C. van Houwelingen Ridge estimators in logistic regression Applied Statistics 41 1992 191 201
25. S. Li, H. Wu, D. Wan, and J. Zhu An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine Knowledge-Based Systems 24 1 2011 40 48
26. T. Li, D. Ruan, W. Geert, J. Song, and Y. Xu A rough sets based characteristic relation approach for dynamic attribute generalization in data mining Knowledge-Based Systems 20 5 2007 485 494 (Pubitemid 46719940)
27. H. Liu, and H. Motoda Feature Selection for Knowledge Discovery and Data Mining 1998 Kluwer Boston
28. H. Liu, and L. Yu Toward integrating feature selection algorithms for classification and clustering IEEE Transactions on Knowledge and Data Engineering 17 2005 491 502 (Pubitemid 40495592)
29. P. Mitra, C.A. Murthy, and S.K. Pal Unsupervised feature selection using feature similarity IEEE Transactions on Pattern Analysis and Machine Intelligence 24 2002 301 312 (Pubitemid 35289348)
30. H.S. Nguyen, and S.H. Nguyen Analysis of STULONG data by rough set exploration system (RSES) P. Berka, Proceedings of the ECML/PKDD Workshop 2003 71 82
31. M. Ong Credit Ratings: Methodologies, Rationale and Default Risk 2002 Risk Books British
32. D. Parmar, T. Wu, and J. Blackhurst MMR: an algorithm for clustering categorical data using rough set theory Data and Knowledge Engineering 63 2007 879 893
33. F. Pasiouras, C. Gaganis, and M. Doumpos A multicriteria discrimination approach for the credit rating of Asian banks Annals of Finance 3 2007 351 367
34. F. Pasiouras, C. Gaganis, and C. Zopounidis The impact of bank regulations supervision market structure and bank characteristics on individual bank ratings: a cross-country analysis Review of Quantitative Finance & Accounting 27 2006 403 438 (Pubitemid 44554895)
35. Z. Pawlak Rough sets International Journal of Computational Information Science 11 1982 341 356
36. Z. Pawlak Rough set approach to knowledge-based decision support European Journal of Operational Research 99 1997 48 57 (Pubitemid 127443690)
37. Z. Pawlak, and A. Skowron Rudiments of rough sets Information Sciences 177 1 2007 3 27 (Pubitemid 44556698)
38. Z. Pawlak, and A. Skowron Rough sets and Boolean reasoning Information Sciences 177 1 2007 41 73 (Pubitemid 44556700)
39. W. Poon, and M. Firth Are unsolicited credit ratings lower? International evidence from bank ratings Journal of Business Finance and Accounting 32 2005 1741 1771 (Pubitemid 41826051)
40. B.R. Prasad, Asian banking: emerging developments in growth, structure and efficiency, in: Bombay Stock Exchange (BSE), 2002-2003 Annual Capital Market Review, Section 6: Special Supplements, 2003, pp. 182-191.
41. J.R. Quinlan C4. 5: Programs for Machine Learning 1993 Morgan Kaufmann Publishers San Mateo, CA
42. D.E. Rumelhart, G.E. Hinton, and R.J. Williams Learning internal representations by error propagation D.E. Rumelhart, Parallel Distributed Processing 1986 MIT Press Cambridge, MA 318 362
43. H. Sakai, and M. Nakata On rough sets based rule generation from tables International Journal of Innovative Computing, Information and Control 2 1 2006 13 31
44. A. Sanchis, M.J. Segovia, J.A. Gil, A. Heras, and J.L. Vilar Rough sets and the role of the monetary policy in financial stability (macroeconomic problem) and the prediction of insolvency in insurance sector (microeconomic problem) European Journal of Operational Research 181 2007 1554 1573 (Pubitemid 46498549)
45. K.S. Shin, and I. Han A case-based approach using inductive indexing for corporate bond rating Decision Support Systems 32 2001 41 52 (Pubitemid 32866916)
46. J.C. Singleton, and J.S. Surkan Modeling the judgment of bond rating agencies: artificial intelligence applied to finance Journal of the Midwest Finance Association 20 1991 72 80
47. R.W. Swiniarski, and A. Skowron Rough set methods in feature selection and recognition Pattern Recognition Letters 24 2003 833 849 (Pubitemid 35391801)
48. F.E.H. Tay, and L. Shen Economic and financial prediction using rough sets model European Journal of Operational Research 141 2002 641 659
49. H.J. Teoh, C.H. Cheng, H.H. Chu, and J.S. Chen Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets Data and Knowledge Engineering 67 2008 103 117
50. C.F. Tsai Feature selection in bankruptcy prediction Knowledge-Based Systems 22 2009 120 127
51. H. Uguz A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm Knowledge-Based Systems 24 7 2011 1024 1032
52. V. Vapnik The Nature of Statistical Learning Theory 1995 Springer NY
53. X. Wang, E.C.C. Tsang, S. Zhao, D. Chen, and D.S. Yeung Learning fuzzy rules from fuzzy samples based on rough set technique Information Sciences 179 20 2007 4493 4514 (Pubitemid 47079039)
54. I.H. Witten, and E. Frank Data Mining: Practical Machine Learning Tools and Techniques second ed. 2005 Morgan Kaufman Publishers USA
55. J. Yang, Y. Liu, Z. Liu, X. Zhu, and X. Zhang A new feature selection algorithm based on binomial hypothesis testing for spam filtering Knowledge-Based Systems 24 6 2011 904 914
56. L. Yu, S.Y. Wang, and K.K. Lai An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring European Journal of Operational Research 195 3 2009 942 959
57. L.A. Zadeh Fuzzy sets Information Control 8 1965 338 353
58. W. Zhu Topological approaches to covering rough sets Information Sciences 177 6 2007 1499 1508 (Pubitemid 46037660)
59. P.J. Acklam, An Algorithm for Computing the Inverse Normal Cumulative Distribution Function. Available at: , 2004 (retrieved 10.12.10).
60. Y.T. Chang, East Asian Banking Restructuring: Regulation and Industry Policy, Working Paper, University of East Anglia, 2004, pp. 1-34. Available at: .
61. Math Works Incorporation, Internet Communication. Available at: , 10 December, 2010 (retrieved 10.12.10).
62. K.P. Murphy, Bayes Net ToolBox, Technical Report, MIT Artificial Intelligence Laboratory. , 2002.