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Data mining method for listed companies’ financial distress prediction
1 references·16 citing·34 second hop
Data mining method for listed companies’ financial distress prediction (2006)Data mining method for listed companies’ …Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)Multi-class financial distres…Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree (2021)Financial distress prediction…An overview of bankruptcy prediction models for corporate firms: A Systematic literature review (2019)An overview of bankruptcy pre…A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms (2019)A bibliometric study on intel…An Effective Financial Statements Fraud Detection Model for the Sustainable Development of Financial Markets: Evidence from Taiwan (2018)An Effective Financial Statem…Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Hybrid genetic algorithm and …Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016 (2017)Detecting and predicting the …The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory (2011)The prediction for listed com…AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies (2011)AdaBoost ensemble for financi…Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Predicting business failure u…A support vector machine-based model for detecting top management fraud (2010)A support vector machine-base…Ranking-order case-based reasoning for financial distress prediction (2008)Ranking-order case-based reas…Gaussian case-based reasoning for business failure prediction with empirical data in China (2008)Gaussian case-based reasoning…Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers (2007)Listed companies’ financial d…Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors (2007)Financial distress prediction…Financial distress early warning based on group decision making (2007)Financial distress early warn…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Corporate Ownership Around the World (1999)A multiple support vector machine approach to stock index forecasting with mixed frequency sampling (2017)Assessing effects of economic factors on construction cost estimation using deep neural networks (2021)Early warning of bank failure (1977)Bankruptcy prediction using Partial Least Squares Logistic Regression (2017)Predicting financial distress of contractors in the construction industry using ensemble learning (2018)The effects of handling outliers on the performance of bankruptcy prediction models (2018)Financial Ratios As Predictors of Failure (1966)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Novel feature selection methods to financial distress prediction (2013)Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets (2019)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Dynamics of firm financial evolution and bankruptcy prediction (2017)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach (2020)Bankruptcy Prediction Using Machine Learning Techniques (2022)Machine learning techniques in bankruptcy prediction: A systematic literature review (2024)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)An explainable artificial intelligence approach for financial distress prediction (2022)Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach (2022)Predicting financial distress using multimodal data: An attentive and regularized deep learning method (2024)Feature selection in single and ensemble learning‐based bankruptcy prediction models (2018)Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods (2020)Is Deep Learning for Image Recognition Applicable to Stock Market Prediction? (2019)Bankruptcy Risk Prediction in Ensuring the Sustainable Operation of Agriculture Companies (2021)Detection of Financial Statement Fraud Using Deep Learning for Sustainable Development of Capital Markets under Information Asymmetry (2021)Machine Learning for Credit Risk Prediction: A Systematic Literature Review (2023)
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References

  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited

Cited by

  • 2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods144 cited
  • 2010Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods141 cited
  • 2008Ranking-order case-based reasoning for financial distress prediction141 cited
  • 2021Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree131 cited
  • 2017Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction126 cited
  • 2019An overview of bankruptcy prediction models for corporate firms: A Systematic literature review125 cited
  • 2010A support vector machine-based model for detecting top management fraud121 cited
  • 2011AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies120 cited
  • 2018An Effective Financial Statements Fraud Detection Model for the Sustainable Development of Financial Markets: Evidence from Taiwan117 cited
  • 2007Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers117 cited
  • 2011The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory

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105 cited
  • 2007Financial distress early warning based on group decision making98 cited
  • 2019A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms97 cited
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  • 2007Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors91 cited