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Principal component case-based reasoning ensemble for business failure prediction
16 references·10 citing·46 second hop
Principal component case-based reasoning ensemble for business failure prediction (2011)Principal component case-based reasoning …Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction (2010)Hybridizing principles of TOP…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Soft computing system for bank performance prediction (2007)Soft computing system for ban…Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers (2007)Listed companies’ financial d…Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Forecasting financial conditi…Financial distress early warning based on group decision making (2007)Financial distress early warn…DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique (2007)DEA as a tool for bankruptcy …Using Bayesian networks for bankruptcy prediction: Some methodological issues (2006)Using Bayesian networks for b…Predicting corporate financial distress based on integration of support vector machine and logistic regression (2006)Predicting corporate financia…Predicting Firm Financial Distress: A Mixed Logit Model (2004)Predicting Firm Financial Dis…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem (2004)A threshold-varying artificia…Rough sets bankruptcy prediction models versus auditor signalling rates (2003)Rough sets bankruptcy predict…Bankruptcy prediction using a data envelopment analysis (2003)Bankruptcy prediction using a…Tests of the generalizability of Altman's bankruptcy prediction model (2001)Tests of the generalizability…Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method (2023)Three-stage research framewor…Explanatory Factors of Business Failure: Literature Review and Global Trends (2021)Explanatory Factors of Busine…Dynamic prediction of relative financial distress based on imbalanced data stream: from the view of one industry (2018)Dynamic prediction of relativ…The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles (2017)The best of two worlds: Balan…The dynamic financial distress prediction method of EBW-VSTW-SVM (2015)The dynamic financial distres…SMEs probability of default: the case of the hospitality sector (2015)SMEs probability of default: …A Genetic Bankrupt Ratio Analysis Tool Using a Genetic Algorithm to Identify Influencing Financial Ratios (2015)A Genetic Bankrupt Ratio Anal…Understanding the impact of business cases on IT investment decisions: An analysis of municipal e-government projects (2013)Understanding the impact of b…An Analysis on Qualitative Bankruptcy Prediction Rules using Ant-Miner (2013)An Analysis on Qualitative Ba…Forecasting business failure using two‐stage ensemble of multivariate discriminant analysis and logistic regression (2012)Forecasting business failure …Fuzzy sets (1965)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Fuzzy sets (1996)Fuzzy MCDM approach for selecting the best environment-watershed plan (2009)Fuzzy Support Vector Machine for bankruptcy prediction (2010)Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble (2016)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using support vector machine with a hybrid feature selection method to the stock trend prediction 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(2012)Financial credit risk assessment: a recent review (2015)A comparative study on base classifiers in ensemble methods for credit scoring (2016)What's In A Name? Malay Seals As Onomastic Sources (2018)Financial statement analysis (2007)Evaluation of credit risk based on firm performance (2009)Financial crises and bank failures: A review of prediction methods (2009)Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA (2014)Financial Statement Analysis (2022)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Comparative analysis of data mining methods for bankruptcy prediction (2011)Machine Learning in Financial Crisis Prediction: A Survey (2011)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Measuring the efficiency of decision making units (1978)Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis (1984)An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties (2008)Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches (2011)Developing an early warning system to predict currency crises (2014)Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)Combining cluster analysis with classifier ensembles to predict financial distress (2011)Ensemble classification based on supervised clustering for credit scoring (2016)Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Modeling Ordered Choices (2010)Artificial intelligence and machine learning in finance: A bibliometric review (2022)
this work references cited by second hop

References

  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2004Predicting Firm Financial Distress: A Mixed Logit Model377 cited
  • 2001Tests of the generalizability of Altman's bankruptcy prediction model360 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
  • 2006Predicting corporate financial distress based on integration of support vector machine and logistic regression229 cited
  • 2003Bankruptcy prediction using a data envelopment analysis210 cited
  • 2007Soft computing system for bank performance prediction173 cited
  • 2007DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique172 cited
  • 2006Using Bayesian networks for bankruptcy prediction: Some methodological issues170 cited
  • 2004A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem150 cited
  • 2007Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers117 cited
  • 2003Rough sets bankruptcy prediction models versus auditor signalling rates

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107 cited
  • 2007Financial distress early warning based on group decision making98 cited
  • 2010Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction97 cited
  • Cited by

    • 2013Understanding the impact of business cases on IT investment decisions: An analysis of municipal e-government projects35 cited
    • 2012Forecasting business failure using two‐stage ensemble of multivariate discriminant analysis and logistic regression30 cited
    • 2015A Genetic Bankrupt Ratio Analysis Tool Using a Genetic Algorithm to Identify Influencing Financial Ratios27 cited
    • 2015The dynamic financial distress prediction method of EBW-VSTW-SVM27 cited
    • 2021Explanatory Factors of Business Failure: Literature Review and Global Trends25 cited
    • 2018Dynamic prediction of relative financial distress based on imbalanced data stream: from the view of one industry25 cited
    • 2015SMEs probability of default: the case of the hospitality sector22 cited
    • 2017The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles21 cited
    • 2023Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method20 cited
    • 2013An Analysis on Qualitative Bankruptcy Prediction Rules using Ant-Miner17 cited