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A Review on Machine Learning-Based Customer Churn Prediction in the Telecom Industry
16 references·0 citing·47 second hop
A Review on Machine Learning-Based Customer Churn Prediction in the Telecom Industry (2023)A Review on Machine Learning-Based Custom…Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Impact of Hyperparameters on …Customer Churn Prediction in Telecommunication Industry Using Deep Learning (2022)Customer Churn Prediction in …Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees (2022)Customer Churn Prediction in …Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach (2022)Customer Churn in Retail E-Co…A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation (2022)A Data-Driven Approach to Imp…Effective ML Techniques to Predict Customer Churn (2021)Effective ML Techniques to Pr…Deep Learning as a Vector Embedding Model for Customer Churn (2021)Deep Learning as a Vector Emb…Customer Churn Prediction Using Deep Learning (2021)Customer Churn Prediction Usi…Customer churn prediction system: a machine learning approach (2021)Customer churn prediction sys…Customer churn prediction for telecommunication industry: A Malaysian Case Study (2021)Customer churn prediction for…Estimating customer churn under competing risks (2020)Estimating customer churn und…Prediction of Customer Churn Using Machine Learning (2019)Prediction of Customer Churn …Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors (2018)A Hybrid Swarm Intelligent Ne…A comparative study of customer churn prediction in telecom industry using ensemble based classifiers (2017)A comparative study of custom…Credit Scoring and Its Applications (2002)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)A novel evolutionary data mining algorithm with applications to churn prediction (2003)A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (2022)ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry (2024)Enhancing customer retention in telecom industry with machine learning driven churn prediction (2024)Turning telecommunications call details to churn prediction: a data mining approach (2002)Handling class imbalance in customer churn prediction (2008)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Customer churning analysis using machine learning algorithms (2023)Customer churn prediction by hybrid neural networks (2009)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Student Satisfaction and Churn Predicting using Machine Learning Algorithms for EdTech course (2022)Customer Churn Prediction Using Machine Learning Approaches (2023)An analysis on classification models for customer churn prediction (2024)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Empirical study of topic modeling in Twitter (2010)Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning (2023)A Model-Agnostic Interpretability Approach to Predicting Customer Churn in the Telecommunications Industry (2024)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in imbalanced datasets with resampling methods: A comparative study (2024)Ensemble-based deep learning techniques for customer churn prediction model (2024)Bagging and Boosting Classification Trees to Predict Churn (2006)A comparison of machine learning techniques for customer churn prediction (2015)Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms (2022)Intelligent Decision Forest Models for Customer Churn Prediction (2022)Leveraging metaheuristics with artificial intelligence for customer churn prediction in telecom industries (2023)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market (2005)Latent Variable Models and Factor Analysis (2011)Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models (2023)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Customer churn prediction using composite deep learning technique (2023)Deep Churn Prediction Method for Telecommunication Industry (2023)Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models (2024)
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References

  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2022Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach139 cited
  • 2022Customer Churn Prediction in Telecommunication Industry Using Deep Learning123 cited
  • 2017A comparative study of customer churn prediction in telecom industry using ensemble based classifiers70 cited
  • 2022A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation65 cited
  • 2021Effective ML Techniques to Predict Customer Churn61 cited
  • 2022Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees51 cited
  • 2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
  • 2021Deep Learning as a Vector Embedding Model for Customer Churn37 cited
  • 2019Prediction of Customer Churn Using Machine Learning35 cited
  • 2020Estimating customer churn under competing risks31 cited
  • 2018A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors

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31 cited
  • 2021Customer churn prediction for telecommunication industry: A Malaysian Case Study29 cited
  • 2021Customer Churn Prediction Using Deep Learning26 cited
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