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Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach
16 references·16 citing·30 second hopsampled
Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach (2008)Bankruptcy prediction modeling with hybri…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A genetic algorithm application in bankruptcy prediction modeling (2002)A genetic algorithm applicati…Probabilistic Neural Networks in Bankruptcy Prediction (1999)Probabilistic Neural Networks…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Decision support systems and intelligent systems (1997)Decision support systems and …Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using c…Self organizing neural networks for financial diagnosis (1996)Self organizing neural networ…Hybrid neural network models for bankruptcy predictions (1996)Hybrid neural network models …Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…A neural network model for bankruptcy prediction (1990)A neural network model for ba…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Research on financial early warning of mining listed companies based on BP neural network model (2021)Research on financial early w…Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction (2021)Combining feature selection, …Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction (2019)Genetic algorithm-optimized m…Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets (2019)Bankruptcy prediction for sma…Two-step classification method based on genetic algorithm for bankruptcy forecasting (2017)Two-step classification metho…The Logistic Lasso and Ridge Regression in Predicting Corporate Failure (2016)The Logistic Lasso and Ridge …Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction (2016)Performance Comparison of Mul…Optimized artificial intelligence models for predicting project award price (2015)Optimized artificial intellig…Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine (2014)Statistics-based wrapper for …An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)An insight into the experimen…A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy (2014)A genetic algorithm approach …Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction (2013)Application of hybrid case-ba…A Rule-Based Model for Bankruptcy Prediction Based on an Improved Genetic Ant Colony Algorithm (2013)A Rule-Based Model for Bankru…A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy (2012)A hybrid device for the solut…Using partial least squares and support vector machines for bankruptcy prediction (2011)Using partial least squares a…Fuzzy Support Vector Machine for bankruptcy prediction (2010)Fuzzy Support Vector Machine …Financial Ratios As Predictors of Failure (1966)The robust beauty of improper linear models in decision making. (1979)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Positive Accounting Theory (1985)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Conditional logit analysis of qualitative choice behavior (1972)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)The effects of government ownership on bank lending (2003)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Why share knowledge? The influence of ICT on the motivation for knowledge sharing (1999)The Anatomy of a Design Theory (2007)Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research (2008)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Consumer credit-risk models via machine-learning algorithms (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Designing a neural network for forecasting financial and economic time series (1996)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1997Decision support systems and intelligent systems2,452 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 1999Probabilistic Neural Networks in Bankruptcy Prediction277 cited
  • 1997Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis273 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 1996Hybrid neural network models for bankruptcy predictions257 cited
  • 1996Self organizing neural networks for financial diagnosis240 cited
  • Cited by

    • 2019Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction204 cited
    • 2010Fuzzy Support Vector Machine for bankruptcy prediction174 cited
    • 2014A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy141 cited
    • 2021Research on financial early warning of mining listed companies based on BP neural network model130 cited
    • 2016The Logistic Lasso and Ridge Regression in Predicting Corporate Failure124 cited
    • 2019Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets109 cited
    • 2011Using partial least squares and support vector machines for bankruptcy prediction102 cited
    • 2015Optimized artificial intelligence models for predicting project award price100 cited
    • 2017Two-step classification method based on genetic algorithm for bankruptcy forecasting95 cited
    • 2016Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction86 cited
    • 2021Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction85 cited
    • 2013A Rule-Based Model for Bankruptcy Prediction Based on an Improved Genetic Ant Colony Algorithm76 cited
    • 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems75 cited
    • 2013Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction75 cited
    • 2012A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy64 cited
    • 2014Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine63 cited