The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Comparative analysis of data mining methods for bankruptcy prediction
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Citations
Cites
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
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Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,522
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Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY
Altman, E. I. (1968) · The Journal of Finance · doi:10.1111/j.1540-6261.1968.tb00843.x · Cited by 14,888
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cristianini, N., & Shawe-Taylor, J. (2000) · doi:10.1017/cbo9780511801389 · Cited by 13,855
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
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Witten, I. H. (2008) · Cited by 9,143
Neural Networks And Learning Machines
Haykin, S. (2010) · Cited by 6,609
Cited by
Corporate bankruptcy prediction: a high dimensional analysis
Jones, S. (2017) · Review of Accounting Studies · doi:10.1007/s11142-017-9407-1 · Cited by 214
An improved boosting based on feature selection for corporate bankruptcy prediction
Wang, G., Ma, J., & Yang, S. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.09.033 · Cited by 187
Partial Least Square Discriminant Analysis for bankruptcy prediction
Serrano-Cinca, C., & Gutiérrez-Nieto, B. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.11.015 · Cited by 139
Key drivers of green innovation in family firms: a machine learning approach
Veiga, P. M. (2025) · Journal of Family Business Management · doi:10.1108/jfbm-08-2024-0191 · Cited by 25
Explainable machine learning for corporate financial distress prediction in Vietnam
Le Nam, T., & Phan Huy, T. (2026) · Cogent Business & Management · doi:10.1080/23311975.2026.2670659 · Cited by 2
Metadata
- Authors
- Olson, D. L., Delen, D., & Meng, Y.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 52
- Issue
- 2
- Pages
- 464-473
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2078423146
- Cited by
- 323
- References
- 43
- FWCI
- 51.48
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
