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Using partial least squares and support vector machines for bankruptcy prediction · Study

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ArticleUsing partial least squares and support vector machines for bankruptcy prediction

Zijiang Yang2011

Article2011

Using partial least squares and support vector machines for bankruptcy prediction

Zijiang Yang · Wenjie You · Guoli Ji

102 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Artificial Intelligence in Healthcare

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References

2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems 2007Using neural network ensembles for bankruptcy prediction and credit scoring 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring 2008Feature selection in bankruptcy prediction 2008Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach 2008A genetic programming model for bankruptcy prediction: Empirical evidence from Iran

Cited by

2017Bankruptcy prediction using Partial Least Squares Logistic Regression 2018The effects of handling outliers on the performance of bankruptcy prediction models 2012Clustering and visualization of bankruptcy trajectory using self-organizing map 2017Dynamic prediction of financial distress using Malmquist DEA 2016

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Year2011

Typearticle

Published2011-01-25

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations102

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2011.01.021

openalex_workW2035365877

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