The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
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Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Financial Ratios As Predictors of Failure
Beaver, W. H. (1966) · Journal of Accounting Research · doi:10.2307/2490171 · Cited by 4,882
Neural network credit scoring models
West, D. (2000) · Computers & Operations Research · doi:10.1016/s0305-0548(99)00149-5 · Cited by 1,033
Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
Zhang, G., Y. Hu, M., Eddy Patuwo, B., & C. Indro, D. (1999) · European Journal of Operational Research · doi:10.1016/s0377-2217(98)00051-4 · Cited by 677
Cited by
Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review
Ravi Kumar, P., & Ravi, V. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.08.043 · Cited by 1,074
Consumer credit-risk models via machine-learning algorithms
Khandani, A. E., Kim, A. J., & Lo, A. W. (2010) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2010.06.001 · Cited by 864
Using support vector machine with a hybrid feature selection method to the stock trend prediction
Lee, M.-C. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.02.038 · Cited by 302
Boyacioglu, M. A., Kara, Y., & Baykan, Ö. K. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.01.003 · Cited by 283
Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks
López Iturriaga, F. J., & Sanz, I. P. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.11.025 · Cited by 199
Metadata
- Authors
- MIN, J., & LEE, Y.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 28
- Issue
- 4
- Pages
- 603-614
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2121069620
- Cited by
- 871
- References
- 4
- FWCI
- 94.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- MIN, J., & LEE, Y. (2005). Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2004.12.008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
