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An application of locally linear model tree algorithm with combination of feature selection in credit scoring
16 references·0 citing·34 second hop
An application of locally linear model tree algorithm with combination of feature selection in credit scoring (2013)An application of locally linear model tr…Using data mining to improve assessment of credit worthiness via credit scoring models (2011)Using data mining to improve …Two credit scoring models based on dual strategy ensemble trees (2011)Two credit scoring models bas…Vertical bagging decision trees model for credit scoring (2010)Vertical bagging decision tre…A comparative assessment of ensemble learning for credit scoring (2010)A comparative assessment of e…Combination of feature selection approaches with SVM in credit scoring (2009)Combination of feature select…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…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…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…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…Neural network credit scoring models (2000)Neural network credit scoring…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)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)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)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)A comparison of neural networks and linear scoring models in the credit union environment (1996)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)Computer assisted customer churn management: State-of-the-art and future trends (2005)Recent developments in consumer credit risk assessment (2007)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)
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References

  • 2000Neural network credit scoring models1,032 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 2002Credit Scoring and Its Applications669 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2010A comparative assessment of ensemble learning for credit scoring501 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2011Two credit scoring models based on dual strategy ensemble trees244 cited
  • 2011Using data mining to improve assessment of credit worthiness via credit scoring models210 cited
  • 2009Combination of feature selection approaches with SVM in credit scoring202 cited
  • 2005

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Hybrid mining approach in the design of credit scoring models
196 cited
  • 2010Vertical bagging decision trees model for credit scoring163 cited
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