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Mining the customer credit using classification and regression tree and multivariate adaptive regression splines

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
1998Forecasting with artificial neural networks:4,225 cited
1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
2000Neural network credit scoring models1,032 cited
2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 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

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2012An 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 data241 cited
2011Credit card churn forecasting by logistic regression and decision tree225 cited
2013Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models215 cited

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2017

A novel heterogeneous ensemble credit scoring model based on bstacking approach

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2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach161 cited

2010Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods141 cited