References

• 2021Customer churn prediction system: a machine learning approach328 cited
• 2020Leveraging unstructured call log data for customer churn prediction110 cited
• 2021Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms62 cited
• 2022A PCA-AdaBoost model for E-commerce customer churn prediction54 cited
• 2021Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector54 cited
• 2021Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling51 cited
• 2022Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees51 cited
• 2021Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach50 cited
• 2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
• 2022An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry45 cited
• 2021Giant fight: Customer churn prediction in traditional broadcast industry41 cited
• 2021A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China41 cited
• 2021Hybrid Artificial Neural Networks Using Customer Churn Prediction