메뉴 건너뛰기




Volumn 40, Issue 1, 2013, Pages 385-393

Clustering and visualization of bankruptcy trajectory using self-organizing map

Author keywords

Bankruptcy risk; Self organizing map; Trajectory pattern; Visual clustering

Indexed keywords

CLUSTERING PROCESS; COMPANY DEVELOPMENT; DECISION SUPPORTS; DYNAMIC CHANGES; FINANCIAL STATEMENTS; FRENCH COMPANIES; LARGE DATABASE; TEMPORAL BEHAVIOR; TEMPORAL SEQUENCES; TRAJECTORY CLUSTERING; TRAJECTORY PATTERN; VISUAL CLUSTERING;

EID: 84866105753     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.07.047     Document Type: Article
Times cited : (77)

References (33)
  • 2
    • 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. Boyacioglu, Y. Kara, and O. 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.1    Kara, Y.2    Baykan, O.3
  • 6
    • 82255175559 scopus 로고    scopus 로고
    • Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches
    • M.-Y. Chen Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches Computers and Mathematics with Applications 62 12 2011 4514 4524
    • (2011) Computers and Mathematics with Applications , vol.62 , Issue.12 , pp. 4514-4524
    • Chen, M.-Y.1
  • 9
    • 80054822644 scopus 로고    scopus 로고
    • Bankruptcy trajectory analysis on french companies using self-organizing map
    • L. Antunes, H. Pinto, EPIA 2011 Springer Heidelberg
    • N. Chen, B. Ribeiro, and A.S. Vieira Bankruptcy trajectory analysis on french companies using self-organizing map L. Antunes, H. Pinto, Lecture notes in artificial intelligence EPIA 2011 vol. 7026 2011 Springer Heidelberg 407 417
    • (2011) Lecture Notes in Artificial Intelligence , vol.7026 , pp. 407-417
    • Chen, N.1    Ribeiro, B.2    Vieira, A.S.3
  • 10
  • 13
    • 77956610950 scopus 로고    scopus 로고
    • Visualizing market segmentation using self-organizing maps and fuzzy delphi method-adsl market of a telecommunication company
    • P. Hanafizadeh, and M. Mirzazadeh Visualizing market segmentation using self-organizing maps and fuzzy delphi method-adsl market of a telecommunication company Expert Systems with Applications 38 2011 198 205
    • (2011) Expert Systems with Applications , vol.38 , pp. 198-205
    • Hanafizadeh, P.1    Mirzazadeh, M.2
  • 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. Hsu, W. 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
    • (2004) Decision Support Systems , vol.37 , pp. 543-558
    • Huang, Z.1    Chen, H.2    Hsu, C.3    Chen, W.4    Wu, S.5
  • 16
    • 58349100252 scopus 로고    scopus 로고
    • A selective ensemble based on expected probabilities for bankruptcy prediction
    • C. Hung, and J. Chen A selective ensemble based on expected probabilities for bankruptcy prediction Expert Systems with Applications 28 3 2009 5297 5303
    • (2009) Expert Systems with Applications , vol.28 , Issue.3 , pp. 5297-5303
    • Hung, C.1    Chen, J.2
  • 17
    • 77952537146 scopus 로고    scopus 로고
    • Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy
    • P. Jardin Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy Neurocomputing 73 2010 2047 2060
    • (2010) Neurocomputing , vol.73 , pp. 2047-2060
    • Jardin, P.1
  • 18
    • 79955921715 scopus 로고    scopus 로고
    • Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model
    • P. Jardin, and E. Severin Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model Decision Support Systems 51 3 2011 701 711
    • (2011) Decision Support Systems , vol.51 , Issue.3 , pp. 701-711
    • Jardin, P.1    Severin, E.2
  • 20
    • 0345404391 scopus 로고    scopus 로고
    • Predicting bankruptcies with the self-organizing map
    • K. Kiviluoto Predicting bankruptcies with the self-organizing map Neurocomputing 21 1998 191 201
    • (1998) Neurocomputing , vol.21 , pp. 191-201
    • Kiviluoto, K.1
  • 22
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • T. Kohonen Self-organized formation of topologically correct feature maps Biological Cybernetics 43 1 1982 141 152
    • (1982) Biological Cybernetics , vol.43 , Issue.1 , pp. 141-152
    • Kohonen, T.1
  • 25
    • 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 European Accounting Review 15 2 2006 253 271
    • (2006) European Accounting Review , vol.15 , Issue.2 , pp. 253-271
    • Neves, J.1    Vieira, A.2
  • 26
    • 79953675053 scopus 로고    scopus 로고
    • Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence
    • M. Rafiei, S. Manzari, and S. Bostanian Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence Expert Systems with Applications 38 8 2011 10210 10217
    • (2011) Expert Systems with Applications , vol.38 , Issue.8 , pp. 10210-10217
    • Rafiei, M.1    Manzari, S.2    Bostanian, S.3
  • 28
    • 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
  • 30
    • 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: The Journal of Knowledge Engineering 25 4 2008 380 393
    • (2008) Expert Systems: The Journal of Knowledge Engineering , vol.25 , Issue.4 , pp. 380-393
    • Tsai, C.-F.1
  • 33
    • 79952455921 scopus 로고    scopus 로고
    • Using partial least squares and support vector machines for bankruptcy prediction
    • Z. Yang, W. You, and G. Ji Using partial least squares and support vector machines for bankruptcy prediction Expert Systems with Applications 38 7 2011 8336 8342
    • (2011) Expert Systems with Applications , vol.38 , Issue.7 , pp. 8336-8342
    • Yang, Z.1    You, W.2    Ji, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.