{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:41:27Z","timestamp":1742917287728,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":30,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642166921"},{"type":"electronic","value":"9783642166938"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-16693-8_29","type":"book-chapter","created":{"date-parts":[[2010,11,6]],"date-time":"2010-11-06T08:12:05Z","timestamp":1289031125000},"page":"265-273","source":"Crossref","is-referenced-by-count":0,"title":["A GA-Based Support Vector Machine Diagnosis Model for Business Crisis"],"prefix":"10.1007","author":[{"given":"Ming-Fen","family":"Yang","sequence":"first","affiliation":[]},{"given":"Huey-Der","family":"Hsiao","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"29_CR1","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/0378-4266(94)90007-8","volume":"18","author":"E.I. Altman","year":"1994","unstructured":"Altman, E.I., Marco, G., Varetto, F.: Corporate distress diagnosis comparisons using linear discriminant analysis and neural networks. Journal of Banking and Finance\u00a018(3), 505\u2013529 (1994)","journal-title":"Journal of Banking and Finance"},{"issue":"4","key":"29_CR2","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/0305-0483(91)90045-U","volume":"19","author":"P. Falbo","year":"1992","unstructured":"Falbo, P.: Credit-scoring by enlarged discriminant models. Omega\u00a019(4), 275\u2013289 (1992)","journal-title":"Omega"},{"issue":"2","key":"29_CR3","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/S0957-4174(97)00011-0","volume":"13","author":"H. Jo","year":"1997","unstructured":"Jo, H., Han, I., Lee, H.: Bankruptcy prediction using case-based reasoning, neural networks and discriminant analysis. Expert Systems With Applications\u00a013(2), 97\u2013108 (1997)","journal-title":"Expert Systems With Applications"},{"key":"29_CR4","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/0378-4266(77)90022-X","volume":"1","author":"D. Martin","year":"1997","unstructured":"Martin, D.: Early warning of bank failure: A logit regression approach. Journal of Banking and Finance\u00a01, 249\u2013276 (1997)","journal-title":"Journal of Banking and Finance"},{"issue":"1","key":"29_CR5","doi-asserted-by":"publisher","first-page":"109","DOI":"10.2307\/2490395","volume":"18","author":"J.A. Ohlson","year":"1980","unstructured":"Ohlson, J.A.: Financial ratios and probabilistic prediction of bankruptcy. Journal of Accounting Research\u00a018(1), 109\u2013131 (1980)","journal-title":"Journal of Accounting Research"},{"key":"29_CR6","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1016\/0957-4174(95)00020-8","volume":"9","author":"J. Boritz","year":"1995","unstructured":"Boritz, J., Kennedy, D.: Effectiveness of neural networks types for prediction of business failure. Expert Systems with Applications\u00a09, 503\u2013512 (1995)","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"29_CR7","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/S0377-2217(01)00052-2","volume":"136","author":"R. Malhotra","year":"2002","unstructured":"Malhotra, R., Malhotra, D.K.: Differentiating between good credits and bad credits using neuro- fuzzy systems. European Journal of Operational Research\u00a0136(2), 190\u2013211 (2002)","journal-title":"European Journal of Operational Research"},{"key":"29_CR8","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/S0925-2312(96)00031-8","volume":"14","author":"J.M. Zurada","year":"1997","unstructured":"Zurada, J.M., Malinowski, A., Usui, S.: Perturbation method for deleting redundant inputs of perceptron networks. Neurocomputing\u00a014, 177\u2013193 (1997)","journal-title":"Neurocomputing"},{"issue":"1","key":"29_CR9","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1111\/j.1540-6261.1985.tb04949.x","volume":"40","author":"H.E. Frydman","year":"1985","unstructured":"Frydman, H.E., Altman, E.I., Kao, D.: Introducing recursive partitioning for financial classification: The case of financial distress. The Journal of Finance\u00a040(1), 269\u2013291 (1985)","journal-title":"The Journal of Finance"},{"key":"29_CR10","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/0377-2217(90)90194-G","volume":"45","author":"V. Srinivasan","year":"1990","unstructured":"Srinivasan, V., Ruparel, B.: CGX: An expert support system for credit granting. European Journal of Operational Research\u00a045, 293\u2013308 (1990)","journal-title":"European Journal of Operational Research"},{"key":"29_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/BFb0026683","volume-title":"Machine Learning: ECML-98","author":"T. Joachims","year":"1998","unstructured":"Joachims, T.: Text categorization with support vector machines: Learning with many relevant features. In: N\u00e9dellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol.\u00a01398, pp. 137\u2013142. Springer, Heidelberg (1998)"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Fan, A., Palaniswami, M.: Selecting bankruptcy predictors using a support vector machine approach. In: Proc. of the International Joint Conference on Neural Networks, vol.\u00a06, pp. 354\u2013359 (2000)","DOI":"10.1109\/IJCNN.2000.859421"},{"key":"29_CR13","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.eswa.2005.09.024","volume":"31","author":"C.L. Huang","year":"2006","unstructured":"Huang, C.L., Wang, C.J.: A GA-based feature selection and parameters optimization for support vector machines. Expert Systems with Applications\u00a031, 231\u2013240 (2006)","journal-title":"Expert Systems with Applications"},{"key":"29_CR14","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.eswa.2004.12.008","volume":"28","author":"J.H. Min","year":"2005","unstructured":"Min, J.H., Lee, Y.C.: Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Systems with Applications\u00a028, 603\u2013614 (2005)","journal-title":"Expert Systems with Applications"},{"key":"29_CR15","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.eswa.2004.08.009","volume":"28","author":"K.S. Shin","year":"2005","unstructured":"Shin, K.S., Lee, T.S., Kim, H.J.: An application of support vector machines in a bankruptcy prediction model. Expert Systems with Applications\u00a028, 127\u2013135 (2005)","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"29_CR16","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/S0305-0483(01)00026-3","volume":"29","author":"F.E.H. Tay","year":"2001","unstructured":"Tay, F.E.H., Cao, L.J.: Application of support vector machines in financial time series forecasting. Omega\u00a029(4), 309\u2013317 (2001)","journal-title":"Omega"},{"key":"29_CR17","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1016\/S0925-2312(01)00676-2","volume":"48","author":"F.E.H. Tay","year":"2002","unstructured":"Tay, F.E.H., Cao, L.J.: Modified support vector machines in financial time series forecasting. Neurocompuitng\u00a048, 847\u2013861 (2002)","journal-title":"Neurocompuitng"},{"key":"29_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)"},{"issue":"9","key":"29_CR19","first-page":"2325","volume":"4","author":"P. Zhong","year":"2008","unstructured":"Zhong, P., Wang, L.: Support vector regression with input data uncertainty. International Journal of Innovative Computing, Information and Control\u00a04(9), 2325\u20132332 (2008)","journal-title":"International Journal of Innovative Computing, Information and Control"},{"key":"29_CR20","volume-title":"An Introduction to Support Vector Machines","author":"N. Cristianini","year":"2000","unstructured":"Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)"},{"key":"29_CR21","volume-title":"Practical genetic algorithms","author":"R.L. Haupt","year":"1998","unstructured":"Haupt, R.L., Haupt, S.E.: Practical genetic algorithms. John Wiley and Sons, New York (1998)"},{"key":"29_CR22","volume-title":"Applied multivariate statistical analysis","author":"R.A. Johnson","year":"1998","unstructured":"Johnson, R.A., Wichern, D.W.: Applied multivariate statistical analysis. Prentice-Hall Inc., New York (1998)"},{"key":"29_CR23","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/S0957-4174(99)00053-6","volume":"18","author":"B.S. Ahn","year":"2000","unstructured":"Ahn, B.S., Cho, S.S., Kim, C.Y.: The integrated methodology of rough set theory and artificial neural network for business failure prediction. Expert Systems with Applications\u00a018, 65\u201374 (2000)","journal-title":"Expert Systems with Applications"},{"key":"29_CR24","volume-title":"Corporate Financial Distress: A Complete Guide to Predicting, Avoiding and Dealing with Bankruptcy","author":"E.I. Altman","year":"1983","unstructured":"Altman, E.I.: Corporate Financial Distress: A Complete Guide to Predicting, Avoiding and Dealing with Bankruptcy. John Wiley and Sons, New York (1983)"},{"issue":"3","key":"29_CR25","doi-asserted-by":"publisher","first-page":"142","DOI":"10.2307\/3665934","volume":"12","author":"P.K. Coat","year":"1993","unstructured":"Coat, P.K., Fant, L.F.: Recognizing financial distress patterns using a neural network tool. Financial Management\u00a012(3), 142\u2013155 (1993)","journal-title":"Financial Management"},{"key":"29_CR26","doi-asserted-by":"publisher","first-page":"167","DOI":"10.2307\/2490225","volume":"10","author":"E. Deakin","year":"1972","unstructured":"Deakin, E.: A discriminant analysis of predictors of business failure. Journal of Accounting Research\u00a010, 167\u2013179 (1972)","journal-title":"Journal of Accounting Research"},{"key":"29_CR27","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/0304-405X(89)90083-4","volume":"25","author":"S.C. Gilson","year":"1989","unstructured":"Gilson, S.C.: Management turnover and financial distress. Journal of Financial Economics\u00a025, 241\u2013262 (1989)","journal-title":"Journal of Financial Economics"},{"key":"29_CR28","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/S0148-2963(97)00222-1","volume":"43","author":"P.T. McGurr","year":"1998","unstructured":"McGurr, P.T., DeVaney, S.A.: Predicting business failure of retail firms: An analysis using a mixed industry model. Journal of Business Research\u00a043, 169\u2013176 (1998)","journal-title":"Journal of Business Research"},{"key":"29_CR29","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1016\/j.eswa.2005.09.070","volume":"31","author":"S.H. Min","year":"2006","unstructured":"Min, S.H., Lee, J., Han, I.: Hybrid genetic algorithms and support vector machines for bankruptcy prediction. Expert Systems with Applications\u00a031, 652\u2013660 (2006)","journal-title":"Expert Systems with Applications"},{"key":"29_CR30","unstructured":"Smola, A.J.: Learning with Kernels. Ph.D.Thesis, Technical University Berlin, Germany (1998)"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence. Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-16693-8_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T19:11:44Z","timestamp":1558293104000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-16693-8_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642166921","9783642166938"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-16693-8_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}