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Telecommunication subscribers' churn prediction model using machine learning
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Telecommunication subscribers' churn prediction model using machine learning (2013)Telecommunication subscribers' churn pred…Explaining customer churn prediction in telecom industry using tabular machine learning models (2024)Explaining customer churn pre…Machine learning based customer churn prediction in home appliance rental business (2023)Machine learning based custom…Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Impact of Hyperparameters on …Artificial Intelligence Based Customer Churn Prediction Model for Business Markets (2022)Artificial Intelligence Based…A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection (2022)A novel customer churn predic…Hybrid approach using machine learning algorithms for customers' churn prediction in the telecommunications industry (2021)Hybrid approach using machine…A competing risks model based on latent Dirichlet Allocation for predicting churn reasons (2021)A competing risks model based…Telecom churn prediction and used techniques, datasets and performance measures: a review (2020)Telecom churn prediction and …Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content (2020)Customer Churn Prediction Mod…Churn Prediction of Customer in Telecom Industry using Machine Learning Algorithms (2020)Churn Prediction of Customer …Churn Prediction: A Comparative Study Using KNN and Decision Trees (2019)Churn Prediction: A Comparati…Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Large-scale Ensemble Model fo…Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry (2018)Exploring nested ensemble lea…Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Comparison of supervised mach…Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Analysis of customer churn pr…Churn Prediction in Telecommunication Industry Using Rough Set Approach (2014)Churn Prediction in Telecommu…The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Applying data mining to telecom churn management (2005)Handling class imbalance in customer churn prediction (2008)Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector (2018)Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions (2022)Zero defections: quality comes to services. (1990)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Application of data mining techniques in customer relationship management: A literature review and classification (2008)A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic (2020)Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector (2021)Machine Learning to Develop Credit Card Customer Churn Prediction (2022)Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A comparison of machine learning techniques for customer churn prediction (2015)Predicting customer churn: A systematic literature review (2022)An efficient churn prediction model using gradient boosting machine and metaheuristic optimization (2023)Ensemble-based deep learning techniques for customer churn prediction model (2024)A Survey on Customer Churn Prediction using Machine Learning Techniques (2016)A Novel Approach for Churn Prediction Using Deep Learning (2017)Customer churn prediction in telecom using machine learning in big data platform (2019)CUSTOMER CHURN PREDICTION (2021)Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study (2022)Hybrid Machine Learning Models for Predictive Maintenance in Cloud-Based Infrastructure for SaaS Applications (2024)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (2022)Performance Evaluation of Various Classification Techniques for Customer Churn Prediction in E-commerce (2022)Characterizing Internet Card User Portraits for Efficient Churn Prediction Model Design (2023)Bagging and Boosting Classification Trees to Predict Churn (2006)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)Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries (2023)Customer Churn Prevention For E-commerce Platforms using Machine Learning-based Business Intelligence (2023)AI-Based Customer Churn Prediction Model for Business Markets in the USA: Exploring the Use of AI and Machine Learning Technologies in Preventing Customer Churn (2024)Why Satisfied Customers Defect (1995)Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development (2003)Customer churn analysis using feature optimization methods and tree-based classifiers (2024)A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction (2025)Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction (2025)The Behavioral Consequences of Service Quality (1996)Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics (2001)Customer perceived value, satisfaction, and loyalty: The role of switching costs (2004)Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression (2024)RetenNet: A Deployable Machine Learning Pipeline with Explainable AI and Prescriptive Optimization for Customer Churn Management (2025)A review and analysis of churn prediction methods for customer retention in telecom industries (2017)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)
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  • 2023Machine learning based customer churn prediction in home appliance rental business59 cited
  • 2020Telecom churn prediction and used techniques, datasets and performance measures: a review54 cited
  • 2018Large-scale Ensemble Model for Customer Churn Prediction in Search Ads52 cited
  • 2022Artificial Intelligence Based Customer Churn Prediction Model for Business Markets51 cited
  • 2024Explaining customer churn prediction in telecom industry using tabular machine learning models51 cited
  • 2020Churn Prediction of Customer in Telecom Industry using Machine Learning Algorithms50 cited
  • 2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
  • 2014Churn Prediction in Telecommunication Industry Using Rough Set Approach48 cited
  • 2022A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection47 cited
  • 2021Hybrid approach using machine learning algorithms for customers' churn prediction in the telecommunications industry42 cited
  • 2021A competing risks model based on latent Dirichlet Allocation for predicting churn reasons

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40 cited
  • 2018Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry37 cited
  • 2020Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content32 cited
  • 2019Churn Prediction: A Comparative Study Using KNN and Decision Trees30 cited