메뉴 건너뛰기




Volumn 52, Issue 2, 2012, Pages 464-473

Comparative analysis of data mining methods for bankruptcy prediction

Author keywords

Bankruptcy prediction; Data mining; Decision trees; Neural networks; Support vector machines; Transparency; Transportability

Indexed keywords

BANKRUPTCY PREDICTION; BLACK-BOX TECHNOLOGY; COMPARATIVE ANALYSIS; DATA-MINING TOOLS; DECISION-TREE ALGORITHM; HUMAN USERS; MINIMUM SUPPORT; PREDICTION OF BANKRUPTCY; RULE SET; SUPPORT VECTOR; TRANSPORTABILITY;

EID: 82255192254     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2011.10.007     Document Type: Article
Times cited : (245)

References (50)
  • 1
    • 41149115573 scopus 로고    scopus 로고
    • Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
    • E. Alfaro, N. García, M. Gámez, and D. Elizondo Bankruptcy forecasting: an empirical comparison of AdaBoost and neural networks Decision Support Systems 45 1 2008 110 122
    • (2008) Decision Support Systems , vol.45 , Issue.1 , pp. 110-122
    • Alfaro, E.1    García, N.2    Gámez, M.3    Elizondo, D.4
  • 2
    • 84980104458 scopus 로고
    • Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
    • E.I. Altman Financial ratios, discriminant analysis and the prediction of corporate bankruptcy Journal of Finance 23 4 1968 589 609
    • (1968) Journal of Finance , vol.23 , Issue.4 , pp. 589-609
    • Altman, E.I.1
  • 3
    • 0035391093 scopus 로고    scopus 로고
    • Bankruptcy prediction for credit risk using neural networks: A survey and new results
    • DOI 10.1109/72.935101, PII S1045922701050068
    • A.F. Atiya Bankruptcy prediction for credit risk using neural networks: a survey and new results IEEE Transactions on Neural Networks 12 4 2001 929 935 (Pubitemid 32732830)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.4 , pp. 929-935
    • Atiya, A.F.1
  • 4
    • 78649486389 scopus 로고    scopus 로고
    • Rule extraction from support vector machines: A review
    • N. Barakat, A.P. Bradley, Rule extraction from support vector machines: a review, Neurocomputing 74 (1-3) (2010) 178-190.
    • (2010) Neurocomputing , vol.74 , Issue.1-3 , pp. 178-190
    • Barakat, N.1    Bradley, A.P.2
  • 5
    • 0002554419 scopus 로고
    • Financial ratios as predictors of failure
    • W.H. Beaver Financial ratios as predictors of failure Journal of Accounting Research 4 3 1966 71 111
    • (1966) Journal of Accounting Research , vol.4 , Issue.3 , pp. 71-111
    • Beaver, W.H.1
  • 6
    • 34247898861 scopus 로고    scopus 로고
    • Bankruptcy prediction by generalized additive models
    • DOI 10.1002/asmb.658
    • D. Berg bankruptcy prediction by generalized additive models Applied Stochastic Models in Business and Industry 23 2 2007 129 143 (Pubitemid 46693373)
    • (2007) Applied Stochastic Models in Business and Industry , vol.23 , Issue.2 , pp. 129-143
    • Berg, D.1
  • 8
    • 0037063250 scopus 로고    scopus 로고
    • Structure selection of neurofuzzy networks based on support vector regression
    • DOI 10.1080/00207720210147089
    • C.W. Chan, W.C. Chan, A.W. Jayawardena, and C.J. Harris Structure selection of neurofuzzy networks based on support vector regression International Journal of Systems Science 33 9 2002 715 722 (Pubitemid 35227847)
    • (2002) International Journal of Systems Science , vol.33 , Issue.9 , pp. 715-722
    • Chan, C.W.1    Chan, W.C.2    Jayawardena, A.W.3    Harris, C.J.4
  • 9
    • 77955713806 scopus 로고    scopus 로고
    • Credit risk measurement and early warning of SMEs: An empirical study of listed SMEs in China
    • X. Chen, X. Wang, and D.D. Wu Credit risk measurement and early warning of SMEs: an empirical study of listed SMEs in China Decision Support Systems 49 3 2010 301 310
    • (2010) Decision Support Systems , vol.49 , Issue.3 , pp. 301-310
    • Chen, X.1    Wang, X.2    Wu, D.D.3
  • 10
    • 71349086635 scopus 로고    scopus 로고
    • A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction
    • S. Cho, H. Hong, and B.-C. Ha A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: for bankruptcy prediction Expert Systems with Applications 37 4 2010 3482 3488
    • (2010) Expert Systems with Applications , vol.37 , Issue.4 , pp. 3482-3488
    • Cho, S.1    Hong, H.2    Ha, B.-C.3
  • 12
    • 78049421754 scopus 로고    scopus 로고
    • A comparative analysis of machine learning techniques for student retention management
    • D. Delen A comparative analysis of machine learning techniques for student retention management Decision Support Systems 49 4 2010 498 506
    • (2010) Decision Support Systems , vol.49 , Issue.4 , pp. 498-506
    • Delen, D.1
  • 14
    • 0025627940 scopus 로고
    • Universal approximation of an unknown mapping and its derivatives using multilayer feedforward network
    • K. Hornik, M. Stinchcombe, and H. White Universal approximation of an unknown mapping and its derivatives using multilayer feedforward network Neural Networks 3 1990 359 366
    • (1990) Neural Networks , vol.3 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 15
    • 2442665617 scopus 로고    scopus 로고
    • Credit rating analysis with support vector machines and neural networks: A market comparative study
    • 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 4 2004 543 558
    • (2004) Decision Support Systems , vol.37 , Issue.4 , pp. 543-558
    • Huang, Z.1    Chen, H.2    Hsu, C.-J.3    Chen, W.-H.4    Wu, S.5
  • 16
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • S. Wermter, E. Riloff, G. Scheler, Morgan Kaufman San Francisco, CA
    • R. Kohavi A study of cross-validation and bootstrap for accuracy estimation and model selection S. Wermter, E. Riloff, G. Scheler, The Fourteenth International Joint Conference on Artificial Intelligence (IJCAI) Montreal, Quebec, Canada 1995 Morgan Kaufman San Francisco, CA 1137 1145
    • (1995) The Fourteenth International Joint Conference on Artificial Intelligence (IJCAI) Montreal, Quebec, Canada , pp. 1137-1145
    • Kohavi, R.1
  • 17
    • 0742290026 scopus 로고    scopus 로고
    • Identification of complex systems based on neural and Takagi-Sugeno fuzzy model
    • D. Kukolj, and E. Levi Identification of complex systems based on neural and Takagi-Sugeno fuzzy model IEEE Transactions on Systems, Man & Cybernetics: Part B 34 1 2004 272 282
    • (2004) IEEE Transactions on Systems, Man & Cybernetics: Part B , vol.34 , Issue.1 , pp. 272-282
    • Kukolj, D.1    Levi, E.2
  • 18
    • 2442655599 scopus 로고    scopus 로고
    • Neural network techniques for financial performance prediction: Integrating fundamental and technical analysis
    • M. Lam Neural network techniques for financial performance prediction: integrating fundamental and technical analysis Decision Support Systems 37 4 2004 567 581
    • (2004) Decision Support Systems , vol.37 , Issue.4 , pp. 567-581
    • Lam, M.1
  • 19
    • 0036498492 scopus 로고    scopus 로고
    • Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: A case study in romantic decision support
    • DOI 10.1016/S0167-9236(01)00121-X, PII S016792360100121X
    • W. Leigh, R. Purvis, and J.M. Ragusa Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support Decision Support Systems 32 4 2002 361 377 (Pubitemid 34154797)
    • (2002) Decision Support Systems , vol.32 , Issue.4 , pp. 361-377
    • Leigh, W.1    Purvis, R.2    Ragusa, J.M.3
  • 24
    • 70349137738 scopus 로고    scopus 로고
    • Improving bankruptcy prediction with hidden layer learning vector quantization
    • J. Neves, and A. Vieira Improving bankruptcy prediction with hidden layer learning vector quantization The European Accounting Review 15 2 2006 253 271
    • (2006) The European Accounting Review , vol.15 , Issue.2 , pp. 253-271
    • Neves, J.1    Vieira, A.2
  • 26
    • 9244227617 scopus 로고    scopus 로고
    • Heterogeneous fuzzy logic networks: Fundamentals and development studies
    • W. Pedrycz Heterogeneous fuzzy logic networks: fundamentals and development studies IEEE Transactions on Neural Networks 15 6 2004 1466 1481
    • (2004) IEEE Transactions on Neural Networks , vol.15 , Issue.6 , pp. 1466-1481
    • Pedrycz, W.1
  • 27
    • 68149150914 scopus 로고    scopus 로고
    • Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers
    • P. Pendharkar Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers Journal of the Operational Research Society 60 8 2009 1123 1134
    • (2009) Journal of the Operational Research Society , vol.60 , Issue.8 , pp. 1123-1134
    • Pendharkar, P.1
  • 28
    • 33744584654 scopus 로고
    • Induction of decision trees
    • L. Quinlan Induction of decision trees Machine Learning 1 1986 81 106
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, L.1
  • 30
    • 33846314346 scopus 로고    scopus 로고
    • Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review
    • P. Ravi Kumar, and V. Ravi Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review European Journal of Operational Research 180 1 2007 1 18
    • (2007) European Journal of Operational Research , vol.180 , Issue.1 , pp. 1-18
    • Ravi Kumar, P.1    Ravi, V.2
  • 32
    • 27144457062 scopus 로고    scopus 로고
    • Firm bankruptcy prediction: Experimental comparison of isotonic separation and other classification approaches
    • DOI 10.1109/TSMCA.2005.843393
    • Y.U. Ryu, and W.T. Yue Firm bankruptcy prediction: experimental comparison of isotonic separation and other classification approaches IEEE Trnasactions on Systems, Man & Cybernetics: Part A 35 5 2005 727 737 (Pubitemid 41488618)
    • (2005) IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. , vol.35 , Issue.5 , pp. 727-737
    • Ryu, Y.U.1    Yue, W.T.2
  • 34
    • 1642408353 scopus 로고    scopus 로고
    • A neural network based clustering procedure for bankruptcy prediction
    • J.R. Shah, and M.B. Murtaza A neural network based clustering procedure for bankruptcy prediction American Business Review 18 2 2000 80 86
    • (2000) American Business Review , vol.18 , Issue.2 , pp. 80-86
    • Shah, J.R.1    Murtaza, M.B.2
  • 35
    • 9244259665 scopus 로고    scopus 로고
    • An application of support vector machines in bankruptcy prediction model
    • K.-S. Shin, T.S. Lee, and H.-J. Kim An application of support vector machines in bankruptcy prediction model Expert Systems with Applications 28 1 2005 127 135
    • (2005) Expert Systems with Applications , vol.28 , Issue.1 , pp. 127-135
    • Shin, K.-S.1    Lee, T.S.2    Kim, H.-J.3
  • 36
    • 56049111065 scopus 로고    scopus 로고
    • Incorporating domain knowledge into data mining classifiers: An application in indirect lending
    • A.P. Sinha, and H. Zhao Incorporating domain knowledge into data mining classifiers: an application in indirect lending Decision Support Systems 46 1 2008 287 299
    • (2008) Decision Support Systems , vol.46 , Issue.1 , pp. 287-299
    • Sinha, A.P.1    Zhao, H.2
  • 37
    • 33746924070 scopus 로고    scopus 로고
    • Comparison of computational intelligence based classification techniques for remotely sensed optical image classification
    • DOI 10.1109/TGRS.2006.872903, 1661818
    • D. Stathakis, and A. Vasilakos Comparison of computational intelligence based classification techniques for remotely sensed optimal image classification IEEE Transactions on Geoscience and Remote Sensing 44 8 2006 2305 2318 (Pubitemid 44192169)
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.8 , pp. 2305-2318
    • Stathakis, D.1    Vasilakos, A.2
  • 38
    • 36249003814 scopus 로고    scopus 로고
    • An agent-based decision support system for wholesale electricity market
    • DOI 10.1016/j.dss.2007.05.007, PII S016792360700084X
    • T. Sueyoshi, and G.R. Tadiparthi An agent-based decision support system for wholesale electricity market Decision Support Systems 44 2 2008 425 446 (Pubitemid 350138183)
    • (2008) Decision Support Systems , vol.44 , Issue.2 , pp. 425-446
    • Sueyoshi, T.1    Tadiparthi, G.R.2
  • 39
    • 0033277431 scopus 로고    scopus 로고
    • Dynamics of modeling in data mining: Interpretive approach to bankruptcy prediction
    • T.K. Sung, N. Chang, and G. Lee Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction Journal of Management Information Systems 16 1 1999 63 85 (Pubitemid 32716595)
    • (1999) Journal of Management Information Systems , vol.16 , Issue.1 , pp. 63-85
    • Tae Kyung Sung1    Chang, N.2    Lee, G.3
  • 40
    • 49549093161 scopus 로고    scopus 로고
    • Financial decision support using neural networks and support vector machines
    • C.-F. Tsai Financial decision support using neural networks and support vector machines Expert Systems 25 4 2008 380 393
    • (2008) Expert Systems , vol.25 , Issue.4 , pp. 380-393
    • Tsai, C.-F.1
  • 41
    • 78049481395 scopus 로고    scopus 로고
    • Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches
    • C.-F. Tsai, and Y.-C. Hsiao Combining multiple feature selection methods for stock prediction: union, intersection, and multi-intersection approaches Decision Support Systems 50 1 2010 258 269
    • (2010) Decision Support Systems , vol.50 , Issue.1 , pp. 258-269
    • Tsai, C.-F.1    Hsiao, Y.-C.2
  • 42
    • 70449532144 scopus 로고    scopus 로고
    • Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks
    • F.-M. Tseng, and Y.-C. Hu Comparing four bankruptcy prediction models: logit, quadratic interval logit, neural and fuzzy neural networks Expert Systems with Applications 37 3 2010 1846 1853
    • (2010) Expert Systems with Applications , vol.37 , Issue.3 , pp. 1846-1853
    • Tseng, F.-M.1    Hu, Y.-C.2
  • 43
    • 13544268431 scopus 로고    scopus 로고
    • Neural network ensemble strategies for financial decision applications
    • DOI 10.1016/j.cor.2004.03.017, PII S0305054804000693, Application of Neural Networks
    • D. West, S. Dellana, and J. Qian Neural network ensemble strategies for financial decision applications Computers and Operations Research 32 10 2005 2543 2559 (Pubitemid 40219760)
    • (2005) Computers and Operations Research , vol.32 , Issue.10 , pp. 2543-2559
    • West, D.1    Dellana, S.2    Qian, J.3
  • 44
    • 0028444978 scopus 로고
    • Bankruptcy prediction using neural networks
    • R.L. Wilson, and R. Sharda Bankruptcy prediction using neural networks Decision Support Systems 11 5 1994 545 557
    • (1994) Decision Support Systems , vol.11 , Issue.5 , pp. 545-557
    • Wilson, R.L.1    Sharda, R.2
  • 46
    • 0033074333 scopus 로고    scopus 로고
    • Probabilistic neural networks in bankruptcy prediction
    • Z.R. Yang, M.B. Platt, and H.D. Platt Probabilistic neural networks in bankruptcy prediction Journal of Business Research 44 2 1999 67 74
    • (1999) Journal of Business Research , vol.44 , Issue.2 , pp. 67-74
    • Yang, Z.R.1    Platt, M.B.2    Platt, H.D.3
  • 47
    • 77958100889 scopus 로고    scopus 로고
    • Neural network based self-learning control strategy for electronic throttle valve
    • X. Yuan, Y. Wang, L. Wu, X. Zhang, and W. Sun Neural network based self-learning control strategy for electronic throttle valve IEEE Transactions on Vehicular Technology 59 8 2010 3757 3765
    • (2010) IEEE Transactions on Vehicular Technology , vol.59 , Issue.8 , pp. 3757-3765
    • Yuan, X.1    Wang, Y.2    Wu, L.3    Zhang, X.4    Sun, W.5
  • 48
    • 0032640524 scopus 로고    scopus 로고
    • Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
    • G. Zhang, M.Y. Hu, B.E. Patuwo, and D.C. Indro Artificial neural networks in bankruptcy prediction: general framework and cross-validation analysis European Journal of Operational Research 116 1 1999 16 32
    • (1999) European Journal of Operational Research , vol.116 , Issue.1 , pp. 16-32
    • Zhang, G.1    Hu, M.Y.2    Patuwo, B.E.3    Indro, D.C.4
  • 49
    • 33947502269 scopus 로고    scopus 로고
    • A multi-objective genetic programming approach to developing Pareto optimal decision trees
    • DOI 10.1016/j.dss.2006.12.011, PII S016792360600217X, Integrated Decision Support
    • H. Zhao A multi-objective genetic programming approach to developing Pareto optimal decision trees Decision Support Systems 43 3 2007 809 826 (Pubitemid 46466991)
    • (2007) Decision Support Systems , vol.43 , Issue.3 , pp. 809-826
    • Zhao, H.1
  • 50
    • 0038030864 scopus 로고    scopus 로고
    • Extracting symbolic rules from trained neural network ensembles
    • Z.-H. Zhou, Y. Jiang, and S.-F. Chen Extracting symbolic rules from trained neural network ensembles AI Communications 16 2003 3 15
    • (2003) AI Communications , vol.16 , pp. 3-15
    • Zhou, Z.-H.1    Jiang, Y.2    Chen, S.-F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.