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Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector

16 references·15 citing·47 second hopsampled

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References

2015A comparison of machine learning techniques for customer churn prediction470 cited
2011Customer churn prediction in telecommunications344 cited
2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
2012A Customer Churn Prediction Model in Telecom Industry Using Boosting185 cited
2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
2014Churn prediction using comprehensible support vector machine: An analytical CRM application175 cited
2013Social network analysis for customer churn prediction164 cited
2012Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies138 cited
2011An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction132 cited
2014Dynamic churn prediction framework with more effective use of rare event data: The case of private banking98 cited
2013An effective hybrid learning system for telecommunication churn prediction90 cited
2017Early churn prediction with personalized targeting in mobile social games83 cited
2015Profit-based feature selection using support vector machines – General framework and an application for customer retention78 cited
2013Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification

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77 cited

2009Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn76 cited

2012Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models73 cited

Cited by

2023Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion39 cited
2022Predicting customer churn: A systematic literature review38 cited
2020Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content32 cited
2021Hybrid Artificial Neural Networks Using Customer Churn Prediction29 cited
2021A Survey on Customer Churn Prediction using Machine Learning and data mining Techniques in E-commerce26 cited
2022Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study25 cited
2019Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector25 cited
2020Customer churn prediction in telecom using big data analytics23 cited
2022Boost customer churn prediction in the insurance industry using meta-heuristic models22 cited
2021An early warning model for customer churn prediction in telecommunication sector based on improved bat algorithm to optimize ELM17 cited
2024Customer churn analysis using feature optimization methods and tree-based classifiers14 cited
2021Customer Churns Prediction Model Based on Machine Learning Techniques: A Systematic Review12 cited
2022Telecom Churn Prediction based on Deep Learning Approach10 cited
2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited
2022Implementation of penalized survival models in churn prediction of vehicle insurance9 cited