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Estimating the utility value of individual credit card delinquents
9 references·0 citing·33 second hop
Estimating the utility value of individual credit card delinquents (2008)Estimating the utility value of individua…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Two-stage genetic programming (2SGP) for the credit scoring model (2005)Two-stage genetic programming…Hybrid mining approach in the design of credit scoring models (2005)Hybrid mining approach in the…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)The integrated methodology of…Neural network credit scoring models (2000)Neural network credit scoring…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)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)A comparative study on base classifiers in ensemble methods for credit scoring (2016)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)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Credit rating by hybrid machine learning techniques (2009)Combining cluster analysis with classifier ensembles to predict financial distress (2011)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)Business failure prediction using rough sets (1999)Vertical bagging decision trees model for credit scoring (2010)Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Grey forecasting method of quarterly hydropower production in China based on a data grouping approach (2017)Building credit scoring models using genetic programming (2005)Machine Learning in Financial Crisis Prediction: A Survey (2011)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)
this work references cited by second hop

References

  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2000Neural network credit scoring models1,032 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 two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 2005Two-stage genetic programming (2SGP) for the credit scoring model163 cited

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