메뉴 건너뛰기




Volumn 31, Issue 3, 2011, Pages 441-468

Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis

Author keywords

Artificial neural network; Hotel bankruptcy prediction; Multivariate discriminant analysis; Relative error costs; Support vector machine

Indexed keywords

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; DISCRIMINANT ANALYSIS; LEISURE INDUSTRY; MARKET CONDITIONS; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREDICTION; REGRESSION ANALYSIS;

EID: 78751631705     PISSN: 02642069     EISSN: 17439507     Source Type: Journal    
DOI: 10.1080/02642060802712848     Document Type: Article
Times cited : (82)

References (169)
  • 2
    • 84980104458 scopus 로고
    • Financial ratios, discriminant analysis, and the prediction of corporate bankruptcy
    • Altman, E. (1968). Financial ratios, discriminant analysis, and the prediction of corporate bankruptcy. Journal of Finance, 23(4), 589-609.
    • (1968) Journal of Finance , vol.23 , Issue.4 , pp. 589-609
    • Altman, E.1
  • 3
    • 7944229970 scopus 로고
    • Zeta analysis, a new model to identify bankruptcy risk of corporations
    • Altman, E., Hadelman, R., & Narayanan, P. (1977). Zeta analysis, a new model to identify bankruptcy risk of corporations. Journal of Banking and Finance, 1(1), 29-51.
    • (1977) Journal of Banking and Finance , vol.1 , Issue.1 , pp. 29-51
    • Altman, E.1    Hadelman, R.2    Narayanan, P.3
  • 5
    • 43949151078 scopus 로고
    • Corporate distress diagnosis comparisons using linear discriminant analysis and neural networks
    • Altman, E., Macro, G., & Varetto, R. (1994). Corporate distress diagnosis comparisons using linear discriminant analysis and neural networks. Journal of Banking and Finance, 18(3), 505-529.
    • (1994) Journal of Banking and Finance , vol.18 , Issue.3 , pp. 505-529
    • Altman, E.1    MacRo, G.2    Varetto, R.3
  • 9
    • 0141770890 scopus 로고
    • Identifying unsound firms in Italy. An attempt to use trend variables
    • Appetiti, S. (1984). Identifying unsound firms in Italy. An attempt to use trend variables. Journal of Banking and Finance, 8(2), 269-279.
    • (1984) Journal of Banking and Finance , vol.8 , Issue.2 , pp. 269-279
    • Appetiti, S.1
  • 11
    • 33644915033 scopus 로고    scopus 로고
    • Predicting corporate bankruptcy: Where we stand?
    • Aziz, M., & Dar, H. (2006). Predicting corporate bankruptcy: Where we stand? Corporate Governance, 6(1), 18-33.
    • (2006) Corporate Governance , vol.6 , Issue.1 , pp. 18-33
    • Aziz, M.1    Dar, H.2
  • 12
    • 0001160588 scopus 로고
    • What size net gives valid generalization?
    • Baum, E., & Haussler, D. (1989). What size net gives valid generalization? Neural Computing, 1(1), 151-160.
    • (1989) Neural Computing , vol.1 , Issue.1 , pp. 151-160
    • Baum, E.1    Haussler, D.2
  • 13
    • 0002554419 scopus 로고
    • Financial ratios as predictors of failure
    • Beaver, W. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 5(Suppl), 71-102.
    • (1966) Journal of Accounting Research , vol.5 , Issue.SUPPL. , pp. 71-102
    • Beaver, W.1
  • 14
    • 0000279964 scopus 로고    scopus 로고
    • Neural net or the logit model? A comparison of each model's ability to predict commercial bank failures
    • Bell, T. (1997). Neural net or the logit model? A comparison of each model's ability to predict commercial bank failures. Intelligent Systems in Accounting, Finance, and Management, 6(3), 249-264.
    • (1997) Intelligent Systems in Accounting, Finance, and Management , vol.6 , Issue.3 , pp. 249-264
    • Bell, T.1
  • 15
  • 17
    • 56349142889 scopus 로고    scopus 로고
    • Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in turkey
    • Boyacioglu, M., Kara, Y., & Baykan, O. (Ed.)
    • Boyacioglu, M., Kara, Y., & Baykan, O. (Ed.). (2008). Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in turkey. Experts Systems with Applications, 36(2), 3355-3366.
    • (2008) Experts Systems with Applications , vol.36 , Issue.2 , pp. 3355-3366
  • 18
    • 84985793283 scopus 로고
    • Predicting stock market behavior through rule induction: An application of the learning-from-example approach
    • Braun, H., & Chandler, J. (1987). Predicting stock market behavior through rule induction: An application of the learning-from-example approach. Decision Sciences, 18(3), 415-429.
    • (1987) Decision Sciences , vol.18 , Issue.3 , pp. 415-429
    • Braun, H.1    Chandler, J.2
  • 19
    • 0001876744 scopus 로고
    • A neural network method for obtaining an early warning of insurer insolvency
    • Brockett, P., Cooper, W., Golden, L., & Pitakton, U. (1994). A neural network method for obtaining an early warning of insurer insolvency. The Journal of Risk and Insurance, 61(3), 402-424.
    • (1994) The Journal of Risk and Insurance , vol.61 , Issue.3 , pp. 402-424
    • Brockett, P.1    Cooper, W.2    Golden, L.3    Pitakton, U.4
  • 20
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 22
    • 0002520294 scopus 로고
    • Discriminating between reorganized and liquidated firms in bankruptcy
    • (April
    • Casey, M., McGee, V., & Stinkey, C. (1986). Discriminating between reorganized and liquidated firms in bankruptcy. The Accounting Review, (April), 249-262.
    • (1986) The Accounting Review , pp. 249-262
    • Casey, M.1    McGee, V.2    Stinkey, C.3
  • 23
    • 38949150441 scopus 로고    scopus 로고
    • Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets
    • Chen, W., & Shih, J. (2006). Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets. International Journal of Electronic Finance, 1(1), 49-67.
    • (2006) International Journal of Electronic Finance , vol.1 , Issue.1 , pp. 49-67
    • Chen, W.1    Shih, J.2
  • 25
    • 78751624638 scopus 로고    scopus 로고
    • Corporate bankruptcy prediction
    • Chun, S., & Kim, M. (1996). Corporate bankruptcy prediction. Korean Accounting Review, 21(4), 97-121.
    • (1996) Korean Accounting Review , vol.21 , Issue.4 , pp. 97-121
    • Chun, S.1    Kim, M.2
  • 26
    • 78751632746 scopus 로고    scopus 로고
    • The empirical study on testing the predictability of failure prediction models
    • Chun, S., & Kim, Y. (2001). The empirical study on testing the predictability of failure prediction models. Korean Accounting Journal, 10(1), 151-182.
    • (2001) Korean Accounting Journal , vol.10 , Issue.1 , pp. 151-182
    • Chun, S.1    Kim, Y.2
  • 28
    • 0004970171 scopus 로고
    • An empirical analysis of useful financial ratios: An exploratory study of Irish public quoted companies
    • Clarke, P. (1990). An empirical analysis of useful financial ratios: An exploratory study of Irish public quoted companies. Irish Business and Administrative Research, 11(1), 40-52.
    • (1990) Irish Business and Administrative Research , vol.11 , Issue.1 , pp. 40-52
    • Clarke, P.1
  • 29
    • 49049134758 scopus 로고
    • Statistical methods for bankruptcy forecasting
    • Collins, R., & Green, R. (1982). Statistical methods for bankruptcy forecasting. Journal of Economics and Business, 34(4), 349-354.
    • (1982) Journal of Economics and Business , vol.34 , Issue.4 , pp. 349-354
    • Collins, R.1    Green, R.2
  • 30
    • 30244574381 scopus 로고
    • Ratios financiers et prevision des failietes et moynnes entrepreises
    • Collongues, Y. (1977). Ratios financiers et prevision des failietes et moynnes entrepreises. Revnue Banque, 365(September), 963-970.
    • (1977) Revnue Banque , vol.365 , Issue.September , pp. 963-970
    • Collongues, Y.1
  • 32
    • 84977341882 scopus 로고
    • Ratio stability and corporate failure
    • Dambolena, I., & Khoury, S. (1980). Ratio stability and corporate failure. The Journal of Finance, 35(4), 1017-1026.
    • (1980) The Journal of Finance , vol.35 , Issue.4 , pp. 1017-1026
    • Dambolena, I.1    Khoury, S.2
  • 33
    • 0033117345 scopus 로고    scopus 로고
    • The application of a neural network approach to predicting bankruptcy risks facing the major US air carriers: 1979-1996
    • Davalos, S., Gritta, R., & Chow, G. (1999). The application of a neural network approach to predicting bankruptcy risks facing the major US air carriers: 1979-1996. Journal of Air Transport Management, 5(2), 81-86.
    • (1999) Journal of Air Transport Management , vol.5 , Issue.2 , pp. 81-86
    • Davalos, S.1    Gritta, R.2    Chow, G.3
  • 34
    • 0000275837 scopus 로고
    • A discriminant analysis of predictors of business failure
    • Deakin, E. (1972). A discriminant analysis of predictors of business failure. Journal of Accounting Research, 10(1), 167-179.
    • (1972) Journal of Accounting Research , vol.10 , Issue.1 , pp. 167-179
    • Deakin, E.1
  • 36
    • 0030143666 scopus 로고    scopus 로고
    • A survey of business failure with an emphasis on prediction methods and industrial application
    • Dimitras, A., Zanakis, S., & Zopounidis, C. (1996). A survey of business failure with an emphasis on prediction methods and industrial application. European Journal of Operational Research, 90(3), 487-513.
    • (1996) European Journal of Operational Research , vol.90 , Issue.3 , pp. 487-513
    • Dimitras, A.1    Zanakis, S.2    Zopounidis, C.3
  • 37
    • 0002251978 scopus 로고
    • Abnormal stock returns associated with media disclosures of subject to qualified audit opinions
    • Dopuch, N., Hothausen, R., & Leftwich, R. (1986). Abnormal stock returns associated with media disclosures of subject to qualified audit opinions. Journal of Accounting and Economics, 8(2), 93-117.
    • (1986) Journal of Accounting and Economics , vol.8 , Issue.2 , pp. 93-117
    • Dopuch, N.1    Hothausen, R.2    Leftwich, R.3
  • 38
    • 33847258203 scopus 로고    scopus 로고
    • Oligonucleotide microarray identification of bacillus anthracis strains using support vector machines
    • Doran, M., Raicu, D., Furst, J., Settimi, R., Schipma, M., & Chandler, D. (2007). Oligonucleotide microarray identification of bacillus anthracis strains using support vector machines. Bioinformatics, 23(4), 487-492.
    • (2007) Bioinformatics , vol.23 , Issue.4 , pp. 487-492
    • Doran, M.1    Raicu, D.2    Furst, J.3    Settimi, R.4    Schipma, M.5    Chandler, D.6
  • 40
    • 0028446878 scopus 로고
    • Decision support in non-conservative domains: Generalization with neural networks
    • Dutta, S., Shekahar, S., & Wong, W. (1994). Decision support in non-conservative domains: Generalization with neural networks. Decision Support Systems, 11(5), 527-544.
    • (1994) Decision Support Systems , vol.11 , Issue.5 , pp. 527-544
    • Dutta, S.1    Shekahar, S.2    Wong, W.3
  • 41
    • 0000388853 scopus 로고    scopus 로고
    • A comparison of the relative costs of financial distress models: Artificial neural networks, logit and multivariate discriminant analysis. Intelligent Systems in Accounting
    • Etheridge, H., & Sriram, R. (1997). A comparison of the relative costs of financial distress models: Artificial neural networks, logit and multivariate discriminant analysis. Intelligent Systems in Accounting, Finance and Management, 6(3), 235-248.
    • (1997) Finance and Management , vol.6 , Issue.3 , pp. 235-248
    • Etheridge, H.1    Sriram, R.2
  • 43
    • 0002390219 scopus 로고
    • Credit scoring by enlarged discriminant analysis
    • Falbo, P. (1991). Credit scoring by enlarged discriminant analysis. OMEGA, 19(4), 275-289.
    • (1991) OMEGA , vol.19 , Issue.4 , pp. 275-289
    • Falbo, P.1
  • 45
    • 0000152448 scopus 로고
    • Forecasting with neural networks: An application using bankruptcy data
    • Fletcher, D., & Goss, E. (1993). Forecasting with neural networks: An application using bankruptcy data. Information and Management, 24(3), 159-167.
    • (1993) Information and Management , vol.24 , Issue.3 , pp. 159-167
    • Fletcher, D.1    Goss, E.2
  • 46
    • 84944837333 scopus 로고
    • Introducing recursive partitioning for financial classification: The case of financial distress
    • Frydman, H., Altman, E., & Kao, D. (1985). Introducing recursive partitioning for financial classification: The case of financial distress. The Journal of Finance, XL(1), 269-291.
    • (1985) The Journal of Finance , vol.XL , Issue.1 , pp. 269-291
    • Frydman, H.1    Altman, E.2    Kao, D.3
  • 49
    • 0040320038 scopus 로고
    • The success of bankruptcy prediction models in Greece
    • Gloubos, G., & Grammatikos, G. (1988). The success of bankruptcy prediction models in Greece. Studies in Banking and Finance, 7(1), 37-46.
    • (1988) Studies in Banking and Finance , vol.7 , Issue.1 , pp. 37-46
    • Gloubos, G.1    Grammatikos, G.2
  • 50
    • 0000795893 scopus 로고
    • A note on cash flow and classification patterns of financial ratios
    • Gombola, M., & Ketz, J. (1983). A note on cash flow and classification patterns of financial ratios. The Accounting Review, LVII(Suppl. 1), 105-114.
    • (1983) The Accounting Review , vol.LVII , Issue.SUPPL. 1 , pp. 105-114
    • Gombola, M.1    Ketz, J.2
  • 53
    • 0036148862 scopus 로고    scopus 로고
    • Analyzing bankruptcy in the restaurant industry: A multiple discriminant model
    • Gu, Z. (2002). Analyzing bankruptcy in the restaurant industry: A multiple discriminant model. International Journal of Hospitality Management, 21(1), 25-42.
    • (2002) International Journal of Hospitality Management , vol.21 , Issue.1 , pp. 25-42
    • Gu, Z.1
  • 54
  • 55
    • 0001571041 scopus 로고
    • Failure prediction: Sensitivity of classification accuracy to alternative statistical methods and variable sets
    • Hamer, M. (1983). Failure prediction: Sensitivity of classification accuracy to alternative statistical methods and variable sets. Journal of Accounting and Public Policy, 2(4), 289-307.
    • (1983) Journal of Accounting and Public Policy , vol.2 , Issue.4 , pp. 289-307
    • Hamer, M.1
  • 56
    • 0347851092 scopus 로고
    • Artificial neural networks: Foundations and application to a decision problem
    • Hansen, J., & Messier, W. (1991). Artificial neural networks: Foundations and application to a decision problem. Expert Systems with Applications, 3(1), 135-141.
    • (1991) Expert Systems with Applications , vol.3 , Issue.1 , pp. 135-141
    • Hansen, J.1    Messier, W.2
  • 58
    • 4344566738 scopus 로고    scopus 로고
    • Comparing two success probabilities
    • M. Hollander & D.A Wolfe (Eds.), (2nd ed.) New York: Wiley-Interscience
    • Hollander, M., & Wolfe, D.A. (1999). Comparing two success probabilities. In M. Hollander & D.A Wolfe (Eds.), Nonparametric statistical methods (pp. 458-494). (2nd ed.) New York: Wiley-Interscience.
    • (1999) Nonparametric Statistical Methods , pp. 458-494
    • Hollander, M.1    Wolfe, D.A.2
  • 59
    • 0002561065 scopus 로고
    • A test of the incremental explanatory power of opinions qualified for consistency and uncertainty
    • Hopwood, W., McKeown, J., & Mutchler, J. (1989). A test of the incremental explanatory power of opinions qualified for consistency and uncertainty. The Accounting Review, 64(1), 28-48.
    • (1989) The Accounting Review , vol.64 , Issue.1 , pp. 28-48
    • Hopwood, W.1    McKeown, J.2    Mutchler, J.3
  • 60
    • 84984163838 scopus 로고
    • A reexamination of auditor versus model accuracy within the context of the going-concern opinion decision
    • Hopwood, W., McKeown, J., & Mutchler, J. (1994). A reexamination of auditor versus model accuracy within the context of the going-concern opinion decision. Contemporary Accounting Research, 10(2), 409-431.
    • (1994) Contemporary Accounting Research , vol.10 , Issue.2 , pp. 409-431
    • Hopwood, W.1    McKeown, J.2    Mutchler, J.3
  • 61
    • 33846454686 scopus 로고    scopus 로고
    • Predicting corporate financial distress based on integration of support vector machine and logistic regression
    • Hua, Z., Wang, Y., Xu, X., Zhang, B., & Liang, L. (2007). Predicting corporate financial distress based on integration of support vector machine and logistic regression. Expert Systems with Applications, 33(2), 4434-4440.
    • (2007) Expert Systems with Applications , vol.33 , Issue.2 , pp. 4434-4440
    • Hua, Z.1    Wang, Y.2    Xu, X.3    Zhang, B.4    Liang, L.5
  • 62
    • 33745625856 scopus 로고    scopus 로고
    • An application of support vector machine to companies' financial distress prediction
    • Lecture Notes in Artificial Intelligence, 3885, ISBN 978-3-540-32780-6
    • Hui, X., & Sun, J. (2006). An application of support vector machine to companies' financial distress prediction. Lecture Notes in Artificial Intelligence, 3885, ISBN 978-3-540-32780-6, 274-282.
    • (2006) , pp. 274-282
    • Hui, X.1    Sun, J.2
  • 63
    • 58349100252 scopus 로고    scopus 로고
    • A selective ensemble based on expected probabilities for bankruptcy prediction
    • Hung, C., & Chen, J. (2008). A selective ensemble based on expected probabilities for bankruptcy prediction. Expert Systems with Applications, 36(3), 5297-5303.
    • (2008) Expert Systems with Applications , vol.36 , Issue.3 , pp. 5297-5303
    • Hung, C.1    Chen, J.2
  • 64
    • 0001097666 scopus 로고
    • Corporate distress in Australia
    • Izan, H. (1984). Corporate distress in Australia. Journal of Banking and Finance, 8(2), 303-320.
    • (1984) Journal of Banking and Finance , vol.8 , Issue.2 , pp. 303-320
    • Izan, H.1
  • 66
    • 0030414816 scopus 로고    scopus 로고
    • Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction
    • Jo, H., & Han, I. (1996). Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction. Expert Systems with Applications, 11(4), 415-422.
    • (1996) Expert Systems with Applications , vol.11 , Issue.4 , pp. 415-422
    • Jo, H.1    Han, I.2
  • 67
    • 0031199479 scopus 로고    scopus 로고
    • Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis
    • Jo, H., Han, I., & Lee, H. (1997). Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis. Expert Systems with Applications, 13(2), 97-108.
    • (1997) Expert Systems with Applications , vol.13 , Issue.2 , pp. 97-108
    • Jo, H.1    Han, I.2    Lee, H.3
  • 68
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Berlin, Germany: Springer
    • Joachims, T. (1998). Text categorization with support vector machines: Learning with many relevant features. Proceedings of European Conference on Machine Learning (pp. 137-142). Berlin, Germany: Springer.
    • (1998) Proceedings of European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 69
    • 30244502257 scopus 로고
    • Prediction of business failure using value-added accounting information
    • Kang, C. (1991). Prediction of business failure using value-added accounting information. Korean Accounting Review, 12(1), 79-99.
    • (1991) Korean Accounting Review , vol.12 , Issue.1 , pp. 79-99
    • Kang, C.1
  • 70
    • 78751631958 scopus 로고    scopus 로고
    • A test on the appropriateness of business failure prediction models
    • Kang, C., & Hong, S. (1999). A test on the appropriateness of business failure prediction models. Research on Finance and Banking, 5(1), 83-110.
    • (1999) Research on Finance and Banking , vol.5 , Issue.1 , pp. 83-110
    • Kang, C.1    Hong, S.2
  • 71
    • 84978548584 scopus 로고
    • The failure of UK industrial firms for the period 1976-1985: Logistic analysis and entropy measures
    • Keasey, K., & McGuinness, P. (1990). The failure of UK industrial firms for the period 1976-1985: Logistic analysis and entropy measures. Journal of Business Finance and Accounting, 17(1), 119-135.
    • (1990) Journal of Business Finance and Accounting , vol.17 , Issue.1 , pp. 119-135
    • Keasey, K.1    McGuinness, P.2
  • 73
    • 78751617260 scopus 로고
    • A study on multivariate bankruptcy prediction models: MDA, logit, nonparametric models
    • Kim, W., & Bun, S. (1990). A study on multivariate bankruptcy prediction models: MDA, logit, nonparametric models. Journal of Business Research, 1(1), 5-36.
    • (1990) Journal of Business Research , vol.1 , Issue.1 , pp. 5-36
    • Kim, W.1    Bun, S.2
  • 74
    • 64049087656 scopus 로고    scopus 로고
    • Predicting restaurant bankruptcy: A logit model in comparison with a discriminant model
    • Kim, H., & Gu, Z. (2006). Predicting restaurant bankruptcy: A logit model in comparison with a discriminant model. Journal of Hospitality and Tourism Research, 30(4), 474-493.
    • (2006) Journal of Hospitality and Tourism Research , vol.30 , Issue.4 , pp. 474-493
    • Kim, H.1    Gu, Z.2
  • 75
    • 78751622197 scopus 로고    scopus 로고
    • An empirical study on corporate bankruptcy prediction and the usefulness of financial ratios
    • Retrieved February 18, 2008
    • Kim, Y., & Lee, H. (2001). An empirical study on corporate bankruptcy prediction and the usefulness of financial ratios. Industry Studies. Retrieved February 18, 2008, from http://manage.hannam.ac.kr/%B0%E6%BF%B5%BF%AC%B1%B8%BC%D2/%BB%EA%BE%F7%BF%AC%B1%B815%C1%FD/%B1%E8%BF%B5%C5%C2%C0%CC%C7%F6%C3%B6.htm
    • (2001) Industry Studies
    • Kim, Y.1    Lee, H.2
  • 76
    • 0031198183 scopus 로고    scopus 로고
    • Predictability of interest rates using data mining tools: A comparative analysis of Korea and the US
    • Kim, H., & Noh, H. (1997). Predictability of interest rates using data mining tools: A comparative analysis of Korea and the US. Expert Systems with Applications, 13(2), 85-95.
    • (1997) Expert Systems with Applications , vol.13 , Issue.2 , pp. 85-95
    • Kim, H.1    Noh, H.2
  • 77
    • 0040165735 scopus 로고
    • Applying neural networks
    • In R.R. Trippi & E. Turban (Eds.), New York: Porbus
    • Klimasauskas, C. (1993). Applying neural networks. In R.R. Trippi & E. Turban (Eds.), Neural networks in Finance and Investing (pp. 47-72). New York: Porbus.
    • (1993) Neural Networks in Finance and Investing , pp. 47-72
    • Klimasauskas, C.1
  • 78
    • 84992989177 scopus 로고    scopus 로고
    • Going concern prediction using data mining techniques
    • Koh, H. (2004). Going concern prediction using data mining techniques. Managerial Auditing Journal, 19(3), 462-476.
    • (2004) Managerial Auditing Journal , vol.19 , Issue.3 , pp. 462-476
    • Koh, H.1
  • 80
    • 10044222545 scopus 로고    scopus 로고
    • An exact method of testing equality of several binomial proportions to a specified standard
    • Krishnamoorthy, K., Thomson, J., & Cai, Y. (2004). An exact method of testing equality of several binomial proportions to a specified standard. Computational Statistics and Data Analysis, 45(4), 697-707.
    • (2004) Computational Statistics and Data Analysis , vol.45 , Issue.4 , pp. 697-707
    • Krishnamoorthy, K.1    Thomson, J.2    Cai, Y.3
  • 81
    • 0042018868 scopus 로고
    • Testing the equality of several binomial proportions to a prespecified standard
    • Kulkarni, P., & Shah, A. (1995). Testing the equality of several binomial proportions to a prespecified standard. Statistics and Probability Letters, 25(3), 213-219.
    • (1995) Statistics and Probability Letters , vol.25 , Issue.3 , pp. 213-219
    • Kulkarni, P.1    Shah, A.2
  • 82
    • 84986136023 scopus 로고    scopus 로고
    • The efficacy of liquidation and bankruptcy prediction models for assessing going concern
    • Kuruppu, N., Laswad, F., & Oyelere, P. (2003). The efficacy of liquidation and bankruptcy prediction models for assessing going concern. Managerial Accounting Journal, 18(6/7), 577-590.
    • (2003) Managerial Accounting Journal , vol.18 , Issue.6-7 , pp. 577-590
    • Kuruppu, N.1    Laswad, F.2    Oyelere, P.3
  • 84
    • 84993031170 scopus 로고
    • Financial ratios and different failure processes
    • Laitinen, E. (1991). Financial ratios and different failure processes. Journal of Business Finance and Accounting, 18(5), 649-673.
    • (1991) Journal of Business Finance and Accounting , vol.18 , Issue.5 , pp. 649-673
    • Laitinen, E.1
  • 85
    • 0038765948 scopus 로고
    • Prediction of failure of a newly founded firm
    • Laitinen, E. (1992). Prediction of failure of a newly founded firm. Journal of Business Venturing, 7(4), 323-340.
    • (1992) Journal of Business Venturing , vol.7 , Issue.4 , pp. 323-340
    • Laitinen, E.1
  • 86
    • 0002390954 scopus 로고
    • Financial predictors for different phases of the failure process
    • Laitinen, E. (1993). Financial predictors for different phases of the failure process. OMEGA, 21(2), 215-228.
    • (1993) OMEGA , vol.21 , Issue.2 , pp. 215-228
    • Laitinen, E.1
  • 87
    • 0000740938 scopus 로고
    • A five-state financial distress prediction model
    • Lau, A. (1987). A five-state financial distress prediction model. Journal of Accounting Research, 25(1), 127-138.
    • (1987) Journal of Accounting Research , vol.25 , Issue.1 , pp. 127-138
    • Lau, A.1
  • 88
    • 84978594782 scopus 로고
    • Improving the efficiency and the effectiveness of financial ratio analysis
    • Laurent, C. (1979). Improving the efficiency and the effectiveness of financial ratio analysis. Journal of Business Finance and Accounting, 6(3), 401-413.
    • (1979) Journal of Business Finance and Accounting , vol.6 , Issue.3 , pp. 401-413
    • Laurent, C.1
  • 89
    • 84860235941 scopus 로고
    • A comparison of the prediction accuracy between statistical models and artificial neural networks: MDA, inductive learning method, and artificial neural network
    • Lee, K.C. (1993). A comparison of the prediction accuracy between statistical models and artificial neural networks: MDA, inductive learning method, and artificial neural network. A Journal of the Korean OR and MS Society, 18(2), 57-90.
    • (1993) A Journal of the Korean OR and MS Society , vol.18 , Issue.2 , pp. 57-90
    • Lee, K.C.1
  • 91
    • 33845665258 scopus 로고    scopus 로고
    • Application of support vector machine to corporate credit rating prediction
    • Lee, Y. (2007). Application of support vector machine to corporate credit rating prediction. Expert Systems with Applications, 33(1), 67-74.
    • (2007) Expert Systems with Applications , vol.33 , Issue.1 , pp. 67-74
    • Lee, Y.1
  • 92
    • 0030241497 scopus 로고    scopus 로고
    • Hybrid neural network models for bankruptcy prediction
    • Lee, K., Han, I., & Kwon, Y. (1996). Hybrid neural network models for bankruptcy prediction. Decision Support Systems, 18(1), 63-72.
    • (1996) Decision Support Systems , vol.18 , Issue.1 , pp. 63-72
    • Lee, K.1    Han, I.2    Kwon, Y.3
  • 93
    • 30244449233 scopus 로고
    • A comparative study of recursive partitioning algorithm and analog concept learning systems
    • Lee, S., & Oh, S. (1990). A comparative study of recursive partitioning algorithm and analog concept learning systems. Expert Systems with Applications, 1(4), 403-416.
    • (1990) Expert Systems with Applications , vol.1 , Issue.4 , pp. 403-416
    • Lee, S.1    Oh, S.2
  • 94
    • 53849129254 scopus 로고    scopus 로고
    • Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
    • Li, M., Sun, J., & Sun, B. (2009). Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors. Expert Systems with Applications, 36(1), 643-659.
    • (2009) Expert Systems with Applications , vol.36 , Issue.1 , pp. 643-659
    • Li, M.1    Sun, J.2    Sun, B.3
  • 95
    • 84984274943 scopus 로고
    • An empirical investigation of some data effects on the classification accuracy of probit, ID3, and neural networks
    • Liang, T., Chandler, J., Han, I., & Roan, J. (1992). An empirical investigation of some data effects on the classification accuracy of probit, ID3, and neural networks. Contemporary Accounting Research, 9(1), 306-328.
    • (1992) Contemporary Accounting Research , vol.9 , Issue.1 , pp. 306-328
    • Liang, T.1    Chandler, J.2    Han, I.3    Roan, J.4
  • 96
    • 0035371292 scopus 로고    scopus 로고
    • A data mining approach to the prediction of corporate failure
    • Lin, F., & McClean, S. (2001). A data mining approach to the prediction of corporate failure. Knowledge-Based Systems, 14(3-4), 189-195.
    • (2001) Knowledge-Based Systems , vol.14 , Issue.3-4 , pp. 189-195
    • Lin, F.1    McClean, S.2
  • 97
    • 0000059394 scopus 로고
    • An empirical study of the usefulness of accounting ratios to describe levels of insolvency risk
    • Lincoln, M. (1984). An empirical study of the usefulness of accounting ratios to describe levels of insolvency risk. Journal of Banking and Finance, 8(2), 321-340.
    • (1984) Journal of Banking and Finance , vol.8 , Issue.2 , pp. 321-340
    • Lincoln, M.1
  • 98
    • 0034165224 scopus 로고    scopus 로고
    • Multivariate analysis for the assessment of factors affecting industrial competiveness: The case of Greek food and beverage industries
    • Lipovatz, D., Mandaaraka, M., & Mourelatos, A. (2000). Multivariate analysis for the assessment of factors affecting industrial competiveness: The case of Greek food and beverage industries. Applied Stochastic Models in Business and Industry, 16(2), 85-98.
    • (2000) Applied Stochastic Models in Business and Industry , vol.16 , Issue.2 , pp. 85-98
    • Lipovatz, D.1    Mandaaraka, M.2    Mourelatos, A.3
  • 99
    • 0040914036 scopus 로고
    • Survival analysis as a tool for company failure prediction
    • Luoma, M., & Laitinen, E. (1991). Survival analysis as a tool for company failure prediction. OMEGA, 19(6), 673-678.
    • (1991) OMEGA , vol.19 , Issue.6 , pp. 673-678
    • Luoma, M.1    Laitinen, E.2
  • 101
    • 0038288232 scopus 로고    scopus 로고
    • Predicting business failure of retail firms: An analysis using mixed industry models
    • McGurr, P., & DeVaney, S. (1998). Predicting business failure of retail firms: An analysis using mixed industry models. Journal of Business Research, 43(3), 169-176.
    • (1998) Journal of Business Research , vol.43 , Issue.3 , pp. 169-176
    • McGurr, P.1    Devaney, S.2
  • 103
    • 0002944481 scopus 로고
    • Including rules for expert system development: An example using default and bankruptcy data
    • Messier, W., & Hansen, J. (1988). Including rules for expert system development: An example using default and bankruptcy data. Management Science, 34(12), 1403-1415.
    • (1988) Management Science , vol.34 , Issue.12 , pp. 1403-1415
    • Messier, W.1    Hansen, J.2
  • 104
    • 0004401753 scopus 로고
    • Analysis of business failures in France
    • Micha, B. (1984). Analysis of business failures in France. Journal of Banking and Finance, 8(2), 281-291.
    • (1984) Journal of Banking and Finance , vol.8 , Issue.2 , pp. 281-291
    • Micha, B.1
  • 105
    • 30244570601 scopus 로고
    • An integrated DSS for the assessment of the risk of failure
    • New Jersey, NJ: World Scientific Publishing
    • Michalopoulos, M., Zopounidis, C., & Kouris, I. (1993). An integrated DSS for the assessment of the risk of failure. In Applied Stochastic Models and Data Analysis (pp. 606-625), New Jersey, NJ: World Scientific Publishing.
    • (1993) Applied Stochastic Models and Data Analysis , pp. 606-625
    • Michalopoulos, M.1    Zopounidis, C.2    Kouris, I.3
  • 106
    • 33745595398 scopus 로고    scopus 로고
    • Svm in oracle database 10 g: Removing the barriers to widespread adoption of support vector machines
    • Redwood Shores, CA: Oracle Data Min. Technol
    • Milenova, B., Yarmus, J., & Campos, M. (2005). Svm in oracle database 10 g: Removing the barriers to widespread adoption of support vector machines. Proceedings of VLDB Conference (pp. 1152-1163), Redwood Shores, CA: Oracle Data Min. Technol.
    • (2005) Proceedings of VLDB Conference , pp. 1152-1163
    • Milenova, B.1    Yarmus, J.2    Campos, M.3
  • 107
    • 17844363481 scopus 로고    scopus 로고
    • Bankruptcy prediction using support vector machine with optimal choice of kernel-function parameters
    • Min, J., & Lee, Y. (2005). Bankruptcy prediction using support vector machine with optimal choice of kernel-function parameters. Expert Systems with Applications, 28(4), 603-614.
    • (2005) Expert Systems with Applications , vol.28 , Issue.4 , pp. 603-614
    • Min, J.1    Lee, Y.2
  • 108
    • 33744925661 scopus 로고    scopus 로고
    • Hybrid genetic algorithms and support vector machines for bankruptcy prediction
    • Min, S., Lee, J., & Han, I. (2006). Hybrid genetic algorithms and support vector machines for bankruptcy prediction. Expert Systems with Applications, 31(3), 652-660.
    • (2006) Expert Systems with Applications , vol.31 , Issue.3 , pp. 652-660
    • Min, S.1    Lee, J.2    Han, I.3
  • 109
    • 43949166996 scopus 로고
    • Operational analysis: A case study of two hotels in financial distress
    • Moncarz, E., & Kron, R. (1993). Operational analysis: A case study of two hotels in financial distress. International Journal of Hospitality Management, 12(2), 175-196.
    • (1993) International Journal of Hospitality Management , vol.12 , Issue.2 , pp. 175-196
    • Moncarz, E.1    Kron, R.2
  • 111
    • 78751639099 scopus 로고    scopus 로고
    • An Analysis on business failure reasons and bankruptcy prediction models
    • Seoul, South Korea: Korea Economic Research Institute
    • Nam, J., & Hong, J. (2000). An Analysis on business failure reasons and bankruptcy prediction models. Seoul, South Korea: Korea Economic Research Institute.
    • (2000)
    • Nam, J.1    Hong, J.2
  • 114
    • 9344219565 scopus 로고
    • A neural network model for bankruptcy prediction
    • In R.R. Trippi & E. Turban (Eds.), Chicago-London: Probus
    • Odom, M., & Sharda, R. (1993). A neural network model for bankruptcy prediction. In R.R. Trippi & E. Turban (Eds.), Neural networks in finance and investing (pp. 177-185). Chicago-London: Probus.
    • (1993) Neural Networks in Finance and Investing , pp. 177-185
    • Odom, M.1    Sharda, R.2
  • 115
    • 0000666375 scopus 로고
    • Financial ratios and the probabilistic prediction of bankruptcy
    • Ohlson, J. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, (Spring), 109-131.
    • (1980) Journal of Accounting Research , Issue.Spring , pp. 109-131
    • Ohlson, J.1
  • 116
  • 117
    • 4444230479 scopus 로고    scopus 로고
    • Assessment of the effectiveness of support vector machines for hyper spectral data
    • Pal, M., & Mather, M. (2004). Assessment of the effectiveness of support vector machines for hyper spectral data. Future Generation Computer Systems, 20(7), 1215-1225.
    • (2004) Future Generation Computer Systems , vol.20 , Issue.7 , pp. 1215-1225
    • Pal, M.1    Mather, M.2
  • 118
    • 85010869114 scopus 로고    scopus 로고
    • A study on the prediction of small and medium firm's failure in Korea
    • Park, S., & Kim, B. (2000). A study on the prediction of small and medium firm's failure in Korea. Journal of Business Research, 15(1), 27-53.
    • (2000) Journal of Business Research , vol.15 , Issue.1 , pp. 27-53
    • Park, S.1    Kim, B.2
  • 120
    • 78751614882 scopus 로고
    • Master Thesis In Hotel Administration, University of Nevada, Las Vegas, USA
    • Patterson, D. (1971). Bankruptcy prediction in the casino industry. Master thesis in hotel administration, University of Nevada, Las Vegas, USA.
    • (1971) Bankruptcy Prediction in the Casino Industry
    • Patterson, D.1
  • 121
    • 0347868994 scopus 로고
    • Some further empirical evidence on predicting private company failure
    • Peel, M., & Peel, D. (1987). Some further empirical evidence on predicting private company failure. Accounting and Business Research, 18(69), 57-66.
    • (1987) Accounting and Business Research , vol.18 , Issue.69 , pp. 57-66
    • Peel, M.1    Peel, D.2
  • 122
    • 38249041759 scopus 로고
    • Predicting corporate failure - some results for the UK corporate sector
    • Peel, M., Peel, D., & Pope, P. (1986). Predicting corporate failure - some results for the UK corporate sector. OMEGA, 14(1), 5-12.
    • (1986) OMEGA , vol.14 , Issue.1 , pp. 5-12
    • Peel, M.1    Peel, D.2    Pope, P.3
  • 123
    • 0036383028 scopus 로고    scopus 로고
    • Corporate bankruptcy prognosis: An attempt at a combined prediction of the bankruptcy event and time interval of its occurrence
    • Philosophov, L., & Philosophov, V. (2002). Corporate bankruptcy prognosis: An attempt at a combined prediction of the bankruptcy event and time interval of its occurrence. International Review of Financial Analysis, 11(3), 376-406.
    • (2002) International Review of Financial Analysis , vol.11 , Issue.3 , pp. 376-406
    • Philosophov, L.1    Philosophov, V.2
  • 124
    • 0040262117 scopus 로고
    • The efficiency of alternative models for solvency surveillance in the insurance industry
    • Pinches, G., & Trieschmann, J. (1974). The efficiency of alternative models for solvency surveillance in the insurance industry. Journal of Risk and Insurance, 41, 563-577.
    • (1974) Journal of Risk and Insurance , vol.41 , pp. 563-577
    • Pinches, G.1    Trieschmann, J.2
  • 125
    • 84978567487 scopus 로고
    • Development of a class of stable predictive variables: The case of bankruptcy prediction
    • Platt, H., & Platt, M. (1990). Development of a class of stable predictive variables: The case of bankruptcy prediction. Journal of Business Finance and Accounting, 17(1), 31-51.
    • (1990) Journal of Business Finance and Accounting , vol.17 , Issue.1 , pp. 31-51
    • Platt, H.1    Platt, M.2
  • 128
    • 33846314346 scopus 로고    scopus 로고
    • Bankruptcy prediction in banks and firms via statistical and intelligent techniques-a review
    • Ravi Kumar, R., & Ravi, V. (2007). Bankruptcy prediction in banks and firms via statistical and intelligent techniques-a review. European Journal of Operational Research, 180(1), 1-28.
    • (2007) European Journal of Operational Research , vol.180 , Issue.1 , pp. 1-28
    • Ravi Kumar, R.1    Ravi, V.2
  • 129
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • In D.E. Rumelhart & J.L. McClelland (Eds.), Cambridge, MA: MIT Press
    • Rumelhart, D., Hinton, G., & Williams, R. (1986). Learning internal representations by error propagation. In D.E. Rumelhart & J.L. McClelland (Eds.), Parallel distributed processing (Vol. 1). Cambridge, MA: MIT Press.
    • (1986) Parallel Distributed Processing , vol.1
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 131
    • 0001419333 scopus 로고
    • The probability of bankruptcy: A comparison of empirical predictions and theoretical models
    • Scott, J. (1981). The probability of bankruptcy: A comparison of empirical predictions and theoretical models. Journal of Banking and Finance, 5(3), 317-205.
    • (1981) Journal of Banking and Finance , vol.5 , Issue.3 , pp. 317-205
    • Scott, J.1
  • 133
    • 0041991202 scopus 로고
    • Early warning indicators of business failure
    • Sharma, S., & Mahajan, V. (1980). Early warning indicators of business failure. Journal of Marketing, 44(4), 80-89.
    • (1980) Journal of Marketing , vol.44 , Issue.4 , pp. 80-89
    • Sharma, S.1    Mahajan, V.2
  • 134
    • 9244259665 scopus 로고    scopus 로고
    • An application of support vector machines in bankruptcy prediction model
    • Shin, K., Lee, T., & Kim, H. (2005). An application of support vector machines in bankruptcy prediction model. Expert Systems with Applications, 28(1), 127-135.
    • (2005) Expert Systems with Applications , vol.28 , Issue.1 , pp. 127-135
    • Shin, K.1    Lee, T.2    Kim, H.3
  • 136
    • 84910489317 scopus 로고
    • A multivariate statistical analysis of the characteristics of problem banks
    • Sinkey, J. (1975). A multivariate statistical analysis of the characteristics of problem banks. Journal of Finance, 30(1), 21-36.
    • (1975) Journal of Finance , vol.30 , Issue.1 , pp. 21-36
    • Sinkey, J.1
  • 137
    • 84978561770 scopus 로고
    • Current cost accounting ratios as predictors of business failure: The Swedish case
    • Skosgsvik, K. (1990). Current cost accounting ratios as predictors of business failure: The Swedish case. Journal of Business Finance and Accounting, 17(1), 137-160.
    • (1990) Journal of Business Finance and Accounting , vol.17 , Issue.1 , pp. 137-160
    • Skosgsvik, K.1
  • 138
    • 0013028199 scopus 로고
    • Rough-set sorting of firms according to bankruptcy risk
    • In M. Paruccini (Ed.), Dordrecht, The Netherlands: Kluwer Academic Publishers
    • Slowinski, R., & Zopounidis, C. (1994). Rough-set sorting of firms according to bankruptcy risk. In M. Paruccini (Ed.), Applying multiple criteria aid for decision to environmental management (pp. 339-357). Dordrecht, The Netherlands: Kluwer Academic Publishers.
    • (1994) Applying Multiple Criteria Aid for Decision to Environmental Management , pp. 339-357
    • Slowinski, R.1    Zopounidis, C.2
  • 140
    • 0033277434 scopus 로고    scopus 로고
    • Choosing data-mining methods for multiple classification: Representational and performance measurement implications for decision support
    • Spangler, W., May, J., & Vargas, L. (1999). Choosing data-mining methods for multiple classification: Representational and performance measurement implications for decision support. Journal of Management Information Systems, 16(1), 37-62.
    • (1999) Journal of Management Information Systems , vol.16 , Issue.1 , pp. 37-62
    • Spangler, W.1    May, J.2    Vargas, L.3
  • 141
    • 0033277431 scopus 로고    scopus 로고
    • Dynamics of modeling in data mining: Interpretive approach to bankruptcy prediction
    • Sung, T., Chang, N., & Lee, G. (1999). Dynamics of modeling in data mining: Interpretive approach to bankruptcy prediction. Journal of Management Information Systems, 16(1), 63-85.
    • (1999) Journal of Management Information Systems , vol.16 , Issue.1 , pp. 63-85
    • Sung, T.1    Chang, N.2    Lee, G.3
  • 143
    • 33846316737 scopus 로고    scopus 로고
    • Off-site monitoring systems for predicting bank underperformance: A comparison of neural networks, discriminant analysis, and professional human judgment
    • Swicegood, P., & Clark, J. (2001). Off-site monitoring systems for predicting bank underperformance: A comparison of neural networks, discriminant analysis, and professional human judgment. International Journal of Intelligent Systems in Accounting, Finance & Management, 10(3), 169-186.
    • (2001) International Journal of Intelligent Systems in Accounting, Finance & Management , vol.10 , Issue.3 , pp. 169-186
    • Swicegood, P.1    Clark, J.2
  • 144
    • 0002499770 scopus 로고
    • The z-score approach to measuring company solvency
    • (March 21)
    • Taffler, R. (1983,March 21). The z-score approach to measuring company solvency. The Accountant's Magazine, 87/921, 91-96.
    • (1983) The Accountant's Magazine , vol.87 , Issue.921 , pp. 91-96
    • Taffler, R.1
  • 146
    • 84997479670 scopus 로고
    • Managerial applications of neural networks: The case of bank failure predictions
    • Tam, K., & Kiang, M. (1992). Managerial applications of neural networks: The case of bank failure predictions. Management Science, 38(7), 926-947.
    • (1992) Management Science , vol.38 , Issue.7 , pp. 926-947
    • Tam, K.1    Kiang, M.2
  • 147
    • 0026219723 scopus 로고
    • Inducing stock screening rules for portfolio construction
    • Tam, K., Kiang, M., & Chi, R. (1991). Inducing stock screening rules for portfolio construction. Journal of Operational Research Society, 42(9), 747-757.
    • (1991) Journal of Operational Research Society , vol.42 , Issue.9 , pp. 747-757
    • Tam, K.1    Kiang, M.2    Chi, R.3
  • 148
    • 30244543610 scopus 로고
    • Financial ratios as a means of forecasting bankruptcy
    • May
    • Tamari, M. (1964). Financial ratios as a means of forecasting bankruptcy. Economic Review, (May), 179-190.
    • (1964) Economic Review , pp. 179-190
    • Tamari, M.1
  • 149
    • 80052826948 scopus 로고    scopus 로고
    • A study on using artificial neural networks to develop an early warning predictor for credit union financial distress with comparison to the probit model
    • Tan, C. (2001). A study on using artificial neural networks to develop an early warning predictor for credit union financial distress with comparison to the probit model. Managerial Finance, 27(4), 56-77.
    • (2001) Managerial Finance , vol.27 , Issue.4 , pp. 56-77
    • Tan, C.1
  • 150
    • 84978565408 scopus 로고
    • Assessing the information content of narrative disclosures in explaining bankruptcy
    • Tennyson, B., Ingrma, R., & Dugan, M. (1990). Assessing the information content of narrative disclosures in explaining bankruptcy. Journal of Business Finance and Accounting, 17(3), 391-410.
    • (1990) Journal of Business Finance and Accounting , vol.17 , Issue.3 , pp. 391-410
    • Tennyson, B.1    Ingrma, R.2    Dugan, M.3
  • 151
    • 0042277514 scopus 로고
    • Alternative models for assessing the financial condition of business in Greece
    • Theodossious, P. (1991). Alternative models for assessing the financial condition of business in Greece. Journal of Business Finance and Accounting, 18(5), 697-720.
    • (1991) Journal of Business Finance and Accounting , vol.18 , Issue.5 , pp. 697-720
    • Theodossious, P.1
  • 152
    • 49549093161 scopus 로고    scopus 로고
    • Financial decision support using neural networks and support vector machines
    • Tsai, C. (2008). Financial decision support using neural networks and support vector machines. Expert Systems, 25(4), 380-393.
    • (2008) Expert Systems , vol.25 , Issue.4 , pp. 380-393
    • Tsai, C.1
  • 153
    • 0000126580 scopus 로고
    • Prediction Japanese corporate bankruptcy in terms of financial data using neural network
    • Tsukuda, J., & Baba, S. (1994). Prediction Japanese corporate bankruptcy in terms of financial data using neural network. Computers and Industrial Engineering, 27(4), 445-448.
    • (1994) Computers and Industrial Engineering , vol.27 , Issue.4 , pp. 445-448
    • Tsukuda, J.1    Baba, S.2
  • 154
    • 84970110817 scopus 로고
    • A methodology for measuring the financial vulnerability of charitable nonprofit organization
    • Tuckman, H., & Chang, C. (1991). A methodology for measuring the financial vulnerability of charitable nonprofit organization. Nonprofit and Voluntary Sector Quarterly, 20(4), 445-460.
    • (1991) Nonprofit and Voluntary Sector Quarterly , vol.20 , Issue.4 , pp. 445-460
    • Tuckman, H.1    Chang, C.2
  • 158
    • 0039728134 scopus 로고
    • The significances of financial characteristics in predicting business failure: An analysis in the Greek context
    • Vranas, A. (1992). The significances of financial characteristics in predicting business failure: An analysis in the Greek context. Foundations of Computing and Decision Sciences, 17(4), 257-275.
    • (1992) Foundations of Computing and Decision Sciences , vol.17 , Issue.4 , pp. 257-275
    • Vranas, A.1
  • 159
    • 0028444978 scopus 로고
    • Bankruptcy prediction using neural networks
    • Wilson, R., & Sharda, R. (1994). Bankruptcy prediction using neural networks. Decision Support Systems, 11(5), 545-557.
    • (1994) Decision Support Systems , vol.11 , Issue.5 , pp. 545-557
    • Wilson, R.1    Sharda, R.2
  • 160
    • 0031125026 scopus 로고    scopus 로고
    • Neural network applications in business: A review and analysis of the literature (1988-95)
    • Wong, B., Bondnovich, T., & Yakup, S. (1997). Neural network applications in business: A review and analysis of the literature (1988-95). Decision Support Systems, 19(4), 301-320.
    • (1997) Decision Support Systems , vol.19 , Issue.4 , pp. 301-320
    • Wong, B.1    Bondnovich, T.2    Yakup, S.3
  • 161
    • 33751068050 scopus 로고    scopus 로고
    • A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    • Wu, C., Tzeng, G., Goo, Y., & Fang, W. (2007). A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy. Expert Systems with Applications, 32(2), 397-408.
    • (2007) Expert Systems with Applications , vol.32 , Issue.2 , pp. 397-408
    • Wu, C.1    Tzeng, G.2    Goo, Y.3    Fang, W.4
  • 162
    • 0033074333 scopus 로고    scopus 로고
    • Probabilistic neural networks in bankruptcy prediction
    • Yang, Z. (1999). Probabilistic neural networks in bankruptcy prediction. Journal of Business Research, 44(2), 67-75.
    • (1999) Journal of Business Research , vol.44 , Issue.2 , pp. 67-75
    • Yang, Z.1
  • 163
    • 0033074333 scopus 로고    scopus 로고
    • Probabilistic neural networks in bankruptcy prediction
    • Yang, Z., Platt, M., & Platt, H. (1999). Probabilistic neural networks in bankruptcy prediction. Journal of Business Research, 44, 67-74.
    • (1999) Journal of Business Research , vol.44 , pp. 67-74
    • Yang, Z.1    Platt, M.2    Platt, H.3
  • 164
    • 33846837272 scopus 로고    scopus 로고
    • Fault diagnostics based on particle swarm optimization and support vector machines
    • Yuan, S., & Chu, F. (2007). Fault diagnostics based on particle swarm optimization and support vector machines. Mechanism Systems and Signal Proceedings, 21(4), 1787-1798.
    • (2007) Mechanism Systems and Signal Proceedings , vol.21 , Issue.4 , pp. 1787-1798
    • Yuan, S.1    Chu, F.2
  • 165
    • 0001272231 scopus 로고
    • The prediction of corporate failure: The state of the art
    • Zavgren, C. (1983). The prediction of corporate failure: The state of the art. Journal of Accounting Literature, 2(1), 1-38.
    • (1983) Journal of Accounting Literature , vol.2 , Issue.1 , pp. 1-38
    • Zavgren, C.1
  • 166
    • 84978567741 scopus 로고
    • Assessing the vulnerability to failure of American industrial firms. A logistic analysis
    • Zavgren, C. (1985). Assessing the vulnerability to failure of American industrial firms. A logistic analysis. Journal of Business Finance and Accounting, 12(1), 19-45.
    • (1985) Journal of Business Finance and Accounting , vol.12 , Issue.1 , pp. 19-45
    • Zavgren, C.1
  • 167
    • 0032640524 scopus 로고    scopus 로고
    • Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
    • Zhang, G., Hu, M., Patuwo, B., & Indro, D. (1999). Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis. European Journal of Operational Research, 116(1), 16-32.
    • (1999) European Journal of Operational Research , vol.116 , Issue.1 , pp. 16-32
    • Zhang, G.1    Hu, M.2    Patuwo, B.3    Indro, D.4
  • 168
    • 0001953906 scopus 로고
    • Methodological issues related to the estimation of financial distress prediction models
    • Zmijewski, M. (1984). Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research, 22(Suppl), 59-86.
    • (1984) Journal of Accounting Research , vol.22 , Issue.SUPPL. , pp. 59-86
    • Zmijewski, M.1
  • 169
    • 0040320036 scopus 로고
    • L'analyse multiere et la risqué de credit aux enterprises
    • Zollinger, M. (1982). L'analyse multiere et la risqué de credit aux enterprises. Revue Francaised de Gestion, 56-66.
    • (1982) Revue Francaised De Gestion , pp. 56-66
    • Zollinger, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.