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Customer Churn Prediction in the Telecom Sector with Machine Learning and Adaptive k-Means Cluster using Imbalance Data
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Customer Churn Prediction in the Telecom Sector with Machine Learning and Adaptive k-Means Cluster using Imbalance Data (2024)Customer Churn Prediction in the Telecom …ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry (2024)ChurnNet: Deep Learning Enhan…Regression-Based Machine Learning Framework for Customer Churn Prediction in Telecommunication Industry (2023)Regression-Based Machine Lear…Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning (2023)Predictive Churn Modeling for…Customer churning analysis using machine learning algorithms (2023)Customer churning analysis us…B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)B2C E-Commerce Customer Churn…Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping (2021)Telecom Churn Prediction Syst…Zero defections: quality comes to services. (1990)Marketing management: analysis. planning. implementation and control (2000)Application of data mining techniques in customer relationship management: A literature review and classification (2008)An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)Why Satisfied Customers Defect (1995)Why Satisfied Customers Defect (1996)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models (2023)Customer churn prediction model based on hybrid neural networks (2024)Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach (2025)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)Customer churn prediction system: a machine learning approach (2021)Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Implementing machine learning techniques for customer retention and churn prediction in telecommunications (2024)Advanced Machine Learning Methods for Churn Prediction and Classification in Telecom Sector (2025)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer Churn Prediction using Machine Learning Models (2024)Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques (2024)A data-driven approach with explainable artificial intelligence for customer churn prediction in the telecommunications industry (2025)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Deep learning modelling techniques: current progress, applications, advantages, and challenges (2023)Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning (2024)A comprehensive survey on customer churn analysis studies (2025)Mitigating class imbalance in churn prediction with ensemble methods and SMOTE (2025)
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References

  • 2022B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM149 cited
  • 2023Customer churning analysis using machine learning algorithms95 cited
  • 2021Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping76 cited
  • 2024ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry65 cited
  • 2023Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning30 cited
  • 2023Regression-Based Machine Learning Framework for Customer Churn Prediction in Telecommunication Industry19 cited

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