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Improved churn prediction in telecommunication industry using data mining techniques

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References

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2016Developing a prediction model for customer churn from electronic banking services using data mining116 cited

2020A Survey on Churn Analysis in Various Business Domains109 cited

2017Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior102 cited

2020Explaining and predicting employees’ attrition: a machine learning approach101 cited

2020Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach94 cited

2017Early churn prediction with personalized targeting in mobile social games83 cited

2016Intelligent data analysis approaches to churn as a business problem: a survey74 cited

2022A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy71 cited

2024ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry65 cited

2017Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling63 cited

2025A data-driven approach with explainable artificial intelligence for customer churn prediction in the telecommunications industry60 cited

2021Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning55 cited