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ArticleFuzzy Support Vector Machine for bankruptcy prediction

Arindam Chaudhuri2010

Article2010

Fuzzy Support Vector Machine for bankruptcy prediction

Arindam Chaudhuri · Kajal De

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

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Financial Distress and Bankruptcy Prediction Stock Market Forecasting Methods Data Mining and Machine Learning Applications

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1974ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES*1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 1974On the Pricing of Corporate Debt: The Risk Structure of Interest Rates 1905Methods of Measuring the Concentration of Wealth 1977ZETATM analysis A new model to identify bankruptcy risk of corporations

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2016Technology credit scoring model with fuzzy logistic regression 2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods 2021Research on financial early warning of mining listed companies based on BP neural network model 2019Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets 2017Probabilistic modeling and visualization for bankruptcy prediction

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Year2010

Typearticle

Published2010-11-05

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations174

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.asoc.2010.10.003

openalex_workW2000209534

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2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods

2016An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach

2016A Global Model for Bankruptcy Prediction