References

• 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
• 2015A comparison of machine learning techniques for customer churn prediction470 cited
• 2010Employee churn prediction188 cited
• 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
• 2018Machine-Learning Techniques for Customer Retention: A Comparative Study173 cited
• 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
• 2020XGBoost Model and Its Application to Personal Credit Evaluation154 cited
• 2022Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach139 cited
• 2024Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models94 cited
• 2023E-commerce customer churn prevention using machine learning-based business intelligence strategy89 cited
• 2023Customer churn prediction using composite deep learning technique82 cited
• 2024A cluster-based human resources analytics for predicting employee turnover using optimized Artificial Neural Networks and data augmentation73 cited
• 2023Machine learning based customer churn prediction in home appliance rental business59 cited
• 2024A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI