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Credit scoring with boosted decision trees
13 references·7 citing·35 second hop
Credit scoring with boosted decision trees (2007)Credit scoring with boosted decision treesRecent developments in consumer credit risk assessment (2007)Recent developments in consum…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 two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Neural network credit scoring models (2000)Neural network credit scoring…Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Cre…Machine-learning algorithms for credit-card applications (1992)Machine-learning algorithms f…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models (1983)An Examination of the Concept…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Predicting Credit Scores with Boosted Decision Trees (2022)Predicting Credit Scores with…Mining Cross Features for Financial Credit Risk Assessment (2021)Mining Cross Features for Fin…A survey of machine learning in credit risk (2021)A survey of machine learning …Machine Learning based Cibil Verification System (2020)Machine Learning based Cibil …A data mining application in credit scoring processes of small and medium enterprises commercial corporate customers (2019)A data mining application in …Statistical and data mining methods in credit scoring (2016)Statistical and data mining m…Estimation of Credit Risk by Artificial Neural Networks Models (2009)Estimation of Credit Risk by …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)Financial Ratios As Predictors of Failure (1966)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)Machine Learning in Financial Crisis Prediction: A Survey (2011)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)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Comparative analysis of data mining methods for bankruptcy prediction (2011)The Pricing of Options and Corporate Liabilities (1973)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)A review of trade credit literature: Opportunities for research in operations (2013)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)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)Applied Linear Statistical Models. (1975)Econometric Models and Economic Forecasts (1990)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)Credit scoring with a data mining approach based on support vector machines (2006)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)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
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References

  • 2000Neural network credit scoring models1,032 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 2007Recent developments in consumer credit risk assessment472 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 1992Using Neural Networks for Credit Scoring189 cited
  • 1983An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models137 cited
  • 1992Machine-learning algorithms for credit-card applications128 cited

Cited by

  • 2020Machine Learning based Cibil Verification System27 cited
  • 2016

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Statistical and data mining methods in credit scoring
25 cited
  • 2021A survey of machine learning in credit risk24 cited
  • 2019A data mining application in credit scoring processes of small and medium enterprises commercial corporate customers23 cited
  • 2021Mining Cross Features for Financial Credit Risk Assessment22 cited
  • 2022Predicting Credit Scores with Boosted Decision Trees21 cited
  • 2009Estimation of Credit Risk by Artificial Neural Networks Models17 cited