메뉴 건너뛰기




Volumn 39, Issue 11, 2012, Pages 10140-10152

Enhanced default risk models with SVM+

Author keywords

Bankruptcy prediction; Default risk model; Multi task learning; Support vector machines

Indexed keywords

ANNUAL TURNOVER; BANKRUPTCY PREDICTION; COMPREHENSIVE METHOD; CONTEXTUAL KNOWLEDGE; DECISION MAKERS; DEFAULT RISK; ECONOMIC CRISIS; ECONOMIC ENVIRONMENT; FINANCIAL ANALYSTS; FRENCH COMPANIES; HETEROGENEOUS DATA; INDUCTIVE LEARNING; INDUSTRY TRENDS; LEARNING MODELS; MULTITASK LEARNING; PREDICTION MODEL; SUPPORT VECTOR MACHINE (SVM); TRAINING DATA;

EID: 84859430284     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.142     Document Type: Article
Times cited : (49)

References (38)
  • 1
    • 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
    • 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
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.4 , pp. 929-935
    • Atiya, A.F.1
  • 4
    • 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
    • M.A. Boyacioglu, Y. Kara, and O.K. Baykan 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 Expert Systems with Applications 36 2009 3355 3366
    • (2009) Expert Systems with Applications , vol.36 , pp. 3355-3366
    • Boyacioglu, M.A.1    Kara, Y.2    Baykan, O.K.3
  • 6
    • 70349137738 scopus 로고    scopus 로고
    • Improving bankruptcy prediction with hidden layer learning vector quantization
    • J. Carvalho das Neves, and A. Vieira Improving bankruptcy prediction with hidden layer learning vector quantization European Accounting Review 15 2 2006 253 271
    • (2006) European Accounting Review , vol.15 , Issue.2 , pp. 253-271
    • Carvalho Das Neves, J.1    Vieira, A.2
  • 7
    • 78751647118 scopus 로고    scopus 로고
    • Fuzzy support vector machine for bankruptcy prediction
    • A. Chaudhuri, and K. De Fuzzy support vector machine for bankruptcy prediction Applied Soft Computing 11 2 2011 2472 2486
    • (2011) Applied Soft Computing , vol.11 , Issue.2 , pp. 2472-2486
    • Chaudhuri, A.1    De, K.2
  • 9
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C., Vapnik, V. (1995). Support-vector networks. In Machine Learning (pp. 273-297).
    • (1995) Machine Learning , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 10
  • 14
    • 51749097342 scopus 로고    scopus 로고
    • Learning using structured data: Application to fmri data analysis
    • Orlando, FL
    • Liang, L., Cherkassky, V. (2007). Learning using structured data: Application to fmri data analysis. In International joint conference on neural networks, Orlando, FL (pp. 495-499).
    • (2007) International Joint Conference on Neural Networks , pp. 495-499
    • Liang, L.1    Cherkassky, V.2
  • 16
    • 68149163567 scopus 로고    scopus 로고
    • Predictive learning with structured (grouped) data
    • L. Liang, F. Cai, and V. Cherkassky Predictive learning with structured (grouped) data Neural Networks 2009 766 773
    • (2009) Neural Networks , pp. 766-773
    • Liang, L.1    Cai, F.2    Cherkassky, V.3
  • 17
    • 67349100659 scopus 로고    scopus 로고
    • Applying enhanced data mining approaches in predicting bank performance: A case of taiwanese commercial banks
    • S. Lin, Y.R. Shiue, S.C. Chen, and H. Cheng Applying enhanced data mining approaches in predicting bank performance: A case of taiwanese commercial banks Expert Systems with Applications 36 2009 11543 11551
    • (2009) Expert Systems with Applications , vol.36 , pp. 11543-11551
    • Lin, S.1    Shiue, Y.R.2    Chen, S.C.3    Cheng, H.4
  • 18
    • 77958001182 scopus 로고    scopus 로고
    • The use of hybrid manifold learning and support vector machines in the prediction of business failure
    • F. Lin, C. Yeh, and M. Lee The use of hybrid manifold learning and support vector machines in the prediction of business failure Knowledge-Based Systems 24 1 2011 95 101
    • (2011) Knowledge-Based Systems , vol.24 , Issue.1 , pp. 95-101
    • Lin, F.1    Yeh, C.2    Lee, M.3
  • 20
    • 17844363481 scopus 로고    scopus 로고
    • Bankruptcy prediction using support vector machine (SVM) with optimal choice of kernel function parameters
    • J.H. Min, and Y.C. Lee Bankruptcy prediction using support vector machine (SVM) with optimal choice of kernel function parameters Expert Systems with Applications 28 2005 603 614
    • (2005) Expert Systems with Applications , vol.28 , pp. 603-614
    • Min, J.H.1    Lee, Y.C.2
  • 24
    • 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 28
    • (2007) European Journal of Operational Research , vol.180 , Issue.1 , pp. 1-28
    • Ravi Kumar, P.1    Ravi, V.2
  • 25
    • 11244338201 scopus 로고    scopus 로고
    • Performance analysis of a statistical and an evolutionary neural network based classifier for the prediction of industrial bankruptcy
    • Rekba Pai, G. A., Annapoorani, R., Vijayalakshmi Pai, G. A. (2004). Performance analysis of a statistical and an evolutionary neural network based classifier for the prediction of industrial bankruptcy. In IEEE Conference on cybernetics and intelligent systems (pp. 1033-1038).
    • (2004) IEEE Conference on Cybernetics and Intelligent Systems , pp. 1033-1038
    • Rekba Pai, G.A.1    Annapoorani, R.2    Vijayalakshmi Pai, G.A.3
  • 28
    • 76249122746 scopus 로고    scopus 로고
    • Extracting discriminative features using non-negative matrix factorization in financial distress data
    • M. Kolehmainen, Lecture notes in computer science (LNCS) Springer
    • B. Ribeiro, C. Silva, A. Vieira, and J. Carvalho das Neves Extracting discriminative features using non-negative matrix factorization in financial distress data M. Kolehmainen, International conference on adaptive and natural computing algorithms Lecture notes in computer science (LNCS) Vol. 4432 2009 Springer 537 547
    • (2009) International Conference on Adaptive and Natural Computing Algorithms , vol.4432 , pp. 537-547
    • Ribeiro, B.1    Silva, C.2    Vieira, A.3    Carvalho Das Neves, J.4
  • 35
    • 68149165759 scopus 로고    scopus 로고
    • A new learning paradigm: Learning using privileged information
    • URL
    • V. Vapnik, and A. Vashist A new learning paradigm: Learning using privileged information Neural Networks 22 5-6 2009 544 557 URL http://dx.doi.org/10.1016/j.neunet.2009.06.042
    • (2009) Neural Networks , vol.22 , Issue.56 , pp. 544-557
    • Vapnik, V.1    Vashist, A.2
  • 37
    • 70449521197 scopus 로고    scopus 로고
    • Beyond business failure prediction
    • W.W. Wu Beyond business failure prediction Expert Systems with Applications 37 2010 2371 2376
    • (2010) Expert Systems with Applications , vol.37 , pp. 2371-2376
    • Wu, W.W.1
  • 38
    • 71749091806 scopus 로고    scopus 로고
    • A hybrid approach of DEA, rough set and support vector machines for business failure prediction
    • C. Yeh, D. Chi, and M. Hsu A hybrid approach of DEA, rough set and support vector machines for business failure prediction Expert Systems with Applications 37 2 2010 1535 1541
    • (2010) Expert Systems with Applications , vol.37 , Issue.2 , pp. 1535-1541
    • Yeh, C.1    Chi, D.2    Hsu, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.