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Churn models for prepaid customers in the cellular telecommunication industry using large data marts

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References

2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
2005Applying data mining to telecom churn management514 cited
2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
2008Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services117 cited

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2013Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification77 cited
2017A churn prediction model for prepaid customers in telecom using fuzzy classifiers66 cited
2017Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling63 cited
2012Genetic Programming and Adaboosting based churn prediction for Telecom59 cited
2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
2016Predicting time-to-churn of prepaid mobile telephone customers using social network analysis46 cited
2021Deep Learning for Customer Churn Prediction in E-Commerce Decision Support42 cited

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2013Customer Churn Prediction in Telecommunication A Decade Review and Classification40 cited

2020Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts36 cited

2015Review of Data Mining Techniques for Churn Prediction in Telecom34 cited

2013Mobile phone customer retention strategies and Chinese e-commerce34 cited

2013A Survey on Churn Prediction Techniques in Communication Sector33 cited

2016Churn Prediction System for Telecom using Filter–Wrapper and Ensemble Classification33 cited

2022A Customer Churn Prediction Model using XGBoost for the Telecommunication Industry in Nepal32 cited