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Three local search-based methods for feature selection in credit scoring
9 references·1 citing·42 second hop
Three local search-based methods for feature selection in credit scoring (2018)Three local search-based methods for feat…A new dynamic modeling framework for credit risk assessment (2015)A new dynamic modeling framew…Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring (2013)Improving experimental studie…An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making (2010)An evolution strategy-based m…Genetic programming for credit scoring: The case of Egyptian public sector banks (2009)Genetic programming for credi…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Classification with segmentation for credit scoring and bankruptcy prediction (2020)Classification with segmentat…A Stochastic Approximation Method (1951)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)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 neural network approach for credit risk evaluation (2007)Credit risk assessment with a multistage neural network ensemble learning approach (2007)Multicriteria decision systems for financial problems (2013)Stochastic ordinal regression for multiple criteria sorting problems (2013)Multicriteria Decision Aid/Analysis in Finance (2016)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal (2015)An artificial intelligence system for predicting customer default in e-commerce (2018)Banking credit worthiness: Evaluating the complex relationships (2018)What's In A Name? Malay Seals As Onomastic Sources (2018)Econometric Models and Economic Forecasts (1990)Neural network credit scoring models (2000)A literature review on the application of evolutionary computing to credit scoring (2012)Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors (2014)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit scoring with a data mining approach based on support vector machines (2006)Machine Learning in Financial Crisis Prediction: A Survey (2011)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)Credit scoring using the clustered support vector machine (2014)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Multi Criteria Decision Making in Financial Risk Management with a Multi-objective Genetic Algorithm (2017)Credit scoring methods: Latest trends and points to consider (2022)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Applied Linear Statistical Models. (1975)Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)A new fuzzy support vector machine to evaluate credit risk (2005)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)Clusters and the New Economics of Competition (2014)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending (2017)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)
this work references cited by second hop

References

  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2013Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring150 cited
  • 2009Genetic programming for credit scoring: The case of Egyptian public sector banks120 cited
  • 2015A new dynamic modeling framework for credit risk assessment82 cited
  • 2010An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making60 cited

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  • 2020Classification with segmentation for credit scoring and bankruptcy prediction18 cited

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