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Financial distress prediction using support vector machines: Ensemble vs. individual · Study

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ArticleFinancial distress prediction using support vector machines: Ensemble vs. individual

Jie Sun2012

Article2012

Financial distress prediction using support vector machines: Ensemble vs. individual

Jie Sun · Hui Li

153 citations·0/0 files stored·Applied Soft Computing

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Financial Distress and Bankruptcy Prediction Artificial Intelligence in Healthcare Imbalanced Data Classification Techniques

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1977ZETATM analysis A new model to identify bankruptcy risk of corporations 1991Chaos and Nonlinear Dynamics: Application to Financial Markets 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters 1990A neural network model for bankruptcy prediction 2004An application of support vector machines in bankruptcy prediction model

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2016A two-stage classification technique for bankruptcy prediction 2018Financial crisis prediction model using ant colony optimization 2018Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction 2015Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal 2018The effects of handling outliers on the performance of bankruptcy prediction models

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Year2012

Typearticle

Published2012-03-30

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations153

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.asoc.2012.03.028

openalex_workW2162523902

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2018Predicting financial distress of contractors in the construction industry using ensemble learning

2017Probabilistic modeling and visualization for bankruptcy prediction

2016Financial distress prediction using the hybrid associative memory with translation