References

• 2017Machine learning models and bankruptcy prediction952 cited
• 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
• 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
• 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
• 2003Collateral, type of lender and relationship banking as determinants of credit risk434 cited
• 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
• 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
• 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
• 2011Credit card churn forecasting by logistic regression and decision tree225 cited
• 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 cited
• 2013Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning158 cited
• 2013A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services149 cited
• 2004Subprime Borrowers: Mortgage Transitions and Outcomes