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Credit Scoring Models using Soft Computing Methods: A Survey
16 references·11 citing·28 second hop
Credit Scoring Models using Soft Computing Methods: A Survey (2010)Credit Scoring Models using Soft Computin…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…The evaluation of consumer loans using support vector machines (2005)The evaluation of consumer lo…Hybrid mining approach in the design of credit scoring models (2005)Hybrid mining approach in the…Building credit scoring models using genetic programming (2005)Building credit scoring model…A new fuzzy support vector machine to evaluate credit risk (2005)A new fuzzy support vector ma…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Evaluating consumer loans using neural networks (2003)Evaluating consumer loans usi…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Differentiating between good credits and bad credits using neuro-fuzzy systems (2002)Differentiating between good …Neural network credit scoring models (2000)Neural network credit scoring…Financial credit-risk evaluation with neural and neurofuzzy systems (1999)Financial credit-risk evaluat…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…Credit-scoring models in the credit-union environment using neural networks and genetic algorithms (1997)Credit-scoring models in the …Choosing Bankruptcy Predictors Using Discriminant Analysis, Logit Analysis, and Genetic Algorithms (1996)Choosing Bankruptcy Predictor…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Cre…Credit scoring methods: Latest trends and points to consider (2022)Credit scoring methods: Lates…Experimental analysis of machine learning methods for credit score classification (2021)Experimental analysis of mach…Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey (2021)Credit Scoring Models Using E…Credit Risk Management of Property Investments through Multi-Criteria Indicators (2021)Credit Risk Management of Pro…Artificial neural network and Bayesian network models for credit risk prediction (2020)Artificial neural network and…Machine learning and decision support system on credit scoring (2019)Machine learning and decision…Predicting credit risk on the basis of financial and non-financial variables and data mining (2018)Predicting credit risk on the…Sparse multi-criteria optimization classifier for credit risk evaluation (2017)Sparse multi-criteria optimiz…Statistical and data mining methods in credit scoring (2016)Statistical and data mining m…Classification methods applied to credit scoring: Systematic review and overall comparison (2016)Classification methods applie…Combination of Feature Selection and Optimized Fuzzy Apriori Rules: The Case of Credit Scoring (2015)Combination of Feature Select…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)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Feature selection in bankruptcy prediction (2008)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Decision support systems and intelligent systems (1997)An integrated data mining and behavioral scoring model for analyzing bank customers (2004)Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)A Stochastic Approximation Method (1951)A comparative assessment of ensemble learning for credit scoring (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Machine behaviour (2019)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Credit risk assessment with a multistage neural network ensemble learning approach (2007)Machine Learning in Banking Risk Management: A Literature Review (2019)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)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)Consumer credit-risk models via machine-learning algorithms (2010)
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References

  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2005A new fuzzy support vector machine to evaluate credit risk383 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2003Evaluating consumer loans using neural networks280 cited
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems252 cited
  • 1999Financial credit-risk evaluation with neural and neurofuzzy systems236 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 1992Using Neural Networks for Credit Scoring189 cited
  • 1997Credit-scoring models in the credit-union environment using neural networks and genetic algorithms151 cited
  • 1996Choosing Bankruptcy Predictors Using Discriminant Analysis, Logit Analysis, and Genetic Algorithms

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137 cited
  • 2005The evaluation of consumer loans using support vector machines135 cited
  • Cited by

    • 2022Credit scoring methods: Latest trends and points to consider73 cited
    • 2016Classification methods applied to credit scoring: Systematic review and overall comparison68 cited
    • 2019Machine learning and decision support system on credit scoring49 cited
    • 2018Predicting credit risk on the basis of financial and non-financial variables and data mining47 cited
    • 2020Artificial neural network and Bayesian network models for credit risk prediction43 cited
    • 2021Experimental analysis of machine learning methods for credit score classification38 cited
    • 2021Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey38 cited
    • 2021Credit Risk Management of Property Investments through Multi-Criteria Indicators36 cited
    • 2016Statistical and data mining methods in credit scoring25 cited
    • 2015Combination of Feature Selection and Optimized Fuzzy Apriori Rules: The Case of Credit Scoring25 cited
    • 2017Sparse multi-criteria optimization classifier for credit risk evaluation25 cited