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• 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
• 2007Recent developments in consumer credit risk assessment472 cited
• 2021Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects438 cited
• 2020Statistical and machine learning models in credit scoring: A systematic literature survey410 cited
• 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
• 2005A new fuzzy support vector machine to evaluate credit risk383 cited
• 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
• 2008Support vector machines for credit scoring and discovery of significant features336 cited
• 2008Forecasting and operational research: a review287 cited
• 2021Deep learning for credit scoring: Do or don’t?241 cited
• 2017Big Data and Service Operations232 cited
• 2008Credit scoring with macroeconomic variables using survival analysis232 cited
• 2014Investigation and improvement of multi-layer perceptron neural networks for credit scoring230 cited
• 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry