References

• 2018Early Prediction of Employee Attrition using Data Mining Techniques82 cited
• 2016Intelligent data analysis approaches to churn as a business problem: a survey74 cited
• 2019Application of Machine Learning in Credit Risk Assessment: A Prelude to Smart Banking50 cited
• 2019Customer Churn Prediction In Telecommunication Industry Using Machine Learning Classifiers40 cited
• 2020Implementing Extreme Gradient Boosting (XGBoost) Classifier to Improve Customer Churn Prediction33 cited
• 2018A Hybrid Data Mining Method for Customer Churn Prediction30 cited
• 2020Sequential Feature Selection in Customer Churn Prediction Based on Naive Bayes27 cited
• 2020Predicting Customer Retention using XGBoost and Balancing Methods24 cited
• 2021Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka18 cited
• 2021Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company12 cited

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