References

• 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
• 2015A comparison of machine learning techniques for customer churn prediction470 cited
• 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
• 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
• 2011Customer churn prediction in telecommunications344 cited
• 2009Customer churn prediction by hybrid neural networks321 cited
• 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
• 2012A Customer Churn Prediction Model in Telecom Industry Using Boosting185 cited
• 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
• 2009Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications160 cited
• 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
• 2021Integrated Churn Prediction and Customer Segmentation Framework for Telco Business141 cited
• 2012Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies138 cited