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Integrated Churn Prediction and Customer Segmentation Framework for Telco Business
8 references·16 citing·46 second hop
Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)Integrated Churn Prediction and Customer …A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)A Churn Prediction Model Usin…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …Customer churn prediction in the telecommunication sector using a rough set approach (2016)Customer churn prediction in …New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Customer churn prediction in telecommunications (2011)Customer churn prediction in …Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Applying data mining to telecom churn management (2005)Applying data mining to telec…Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Customer retention, loyalty, …Exploring the Intersection of Machine Learning and Big Data: A Survey (2025)Exploring the Intersection of…Optimising customer retention: An AI-driven personalised pricing approach (2024)Optimising customer retention…Ensemble-based deep learning techniques for customer churn prediction model (2024)Ensemble-based deep learning …Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning (2024)Customer churn modeling in te…CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction (2024)CTGAN-ENN: a tabular GAN-base…Prediction of Customer Behavior Changing via a Hybrid Approach (2023)Prediction of Customer Behavi…Machine Learning and Deep Learning technique used in Customer Churn Prediction: - A Review (2023)Machine Learning and Deep Lea…Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Hyper-Personalization for Enh…How can algorithms help in segmenting users and customers? 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(1990)Marketing management: analysis. planning. implementation and control (2000)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods (2020)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)Data mining for direct marketing: problems and solutions (1998)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry (2024)Enhancing customer retention in telecom industry with machine learning driven churn prediction (2024)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)Customer relationship management and big data enabled: Personalization & customization of services (2018)Personalized mobile marketing strategies (2019)Relationships between Service Quality, Brand Image, Customer Satisfaction, and Customer Loyalty (2021)
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References

  • 2001Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market732 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2011Customer churn prediction in telecommunications344 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited

Cited by

  • 2023An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes76 cited
  • 2023Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems74 cited
  • 2022A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy71 cited
  • 2023Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art59 cited
  • 2023How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation

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54 cited
  • 2025Exploring the Intersection of Machine Learning and Big Data: A Survey53 cited
  • 2022Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions44 cited
  • 2021Hybrid approach using machine learning algorithms for customers' churn prediction in the telecommunications industry42 cited
  • 2022Predicting customer churn: A systematic literature review38 cited
  • 2024Ensemble-based deep learning techniques for customer churn prediction model35 cited
  • 2022A Customer Churn Prediction Model using XGBoost for the Telecommunication Industry in Nepal32 cited
  • 2024CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction29 cited
  • 2023Prediction of Customer Behavior Changing via a Hybrid Approach18 cited
  • 2024Optimising customer retention: An AI-driven personalised pricing approach18 cited
  • 2023Machine Learning and Deep Learning technique used in Customer Churn Prediction: - A Review17 cited
  • 2024Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning17 cited