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Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry
16 references·6 citing·49 second hop
Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry (2021)Fuzzy particle swarm optimization (FPSO) …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…Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods (2018)Cross-company customer churn …A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…Profit maximizing logistic model for customer churn prediction using genetic algorithms (2017)Profit maximizing logistic mo…Customer churn prediction in the telecommunication sector using a rough set approach (2016)Customer churn prediction in …The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment (2015)The Perils of Proactive Churn…Telecommunication subscribers' churn prediction model using machine learning (2013)Telecommunication subscribers…A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2013)A Neural Network based Approa…A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)A Customer Churn Prediction M…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Churn models for prepaid customers in the cellular telecommunication industry using large data marts (2009)Churn models for prepaid cust…Predicting credit card customer churn in banks using data mining (2008)Predicting credit card custom…Computer assisted customer churn management: State-of-the-art and future trends (2005)Computer assisted customer ch…Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Determinants of subscriber ch…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…AI-Driven Predictive Maintenance for Workforce and Service Optimization in the Automotive Sector (2025)AI-Driven Predictive Maintena…Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction (2024)Sampling-based novel heteroge…Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Factors, Predictability, and …A neural network-based predictive decision model for customer retention in the telecommunication sector (2024)A neural network-based predic…Empirical analysis of tree-based classification models for customer churn prediction (2023)Empirical analysis of tree-ba…Predicting Customer Churn on OTT Platforms (2022)Predicting Customer Churn on …Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)Customer churn prediction in telecommunication industry using data certainty (2018)Customer satisfaction, customer retention, and market share (1993)Understanding customer relationship management (CRM) (2003)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Customer churn prediction in telecommunications (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Customer churn prediction system: a machine learning approach (2021)The Behavioral Consequences of Service Quality (1996)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations (2019)Building Data Mining Applications for CRM (1999)Knowledge management and data mining for marketing (2001)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)A Strategic Framework for Customer Relationship Management (2005)Enterprise Systems: State-of-the-Art and Future Trends (2011)Improved churn prediction in telecommunication industry using data mining techniques (2014)Telco Churn Prediction with Big Data (2015)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The relationships of customer satisfaction, customer loyalty, and profitability: an empirical study (1996)M‐loyalty: winning strategies for mobile carriers (2006)Determinants of customer loyalty in the wireless telecommunications industry (2007)Investigating drivers of bank loyalty: the complex relationship between image, service quality and satisfaction (1998)Handling class imbalance in customer churn prediction (2008)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)A Systematic Review of the Causes and Consequences of Price Hikes in Bangladesh (2023)Credit Scoring and Its Applications (2002)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)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)Zero defections: quality comes to services. (1990)Marketing management: analysis. planning. implementation and control (2000)Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods (2020)Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Applying data mining to telecom churn management (2005)Churn prediction for high-value players in casual social games (2014)Developing a prediction model for customer churn from electronic banking services using data mining (2016)A big data analytics model for customer churn prediction in the retiree segment (2018)
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References

  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2004Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market417 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
  • 2009Customer churn prediction by hybrid neural networks321 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
  • 2013A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services149 cited
  • 2008Predicting credit card customer churn in banks using data mining145 cited
  • 2013Telecommunication subscribers' churn prediction model using machine learning140 cited
  • 2015The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment119 cited
  • 2017

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Profit maximizing logistic model for customer churn prediction using genetic algorithms
106 cited
  • 2009Churn models for prepaid customers in the cellular telecommunication industry using large data marts102 cited
  • 2018Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods102 cited
  • Cited by

    • 2023Empirical analysis of tree-based classification models for customer churn prediction21 cited
    • 2024A neural network-based predictive decision model for customer retention in the telecommunication sector14 cited
    • 2022Predicting Customer Churn on OTT Platforms13 cited
    • 2025AI-Driven Predictive Maintenance for Workforce and Service Optimization in the Automotive Sector13 cited
    • 2024Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction12 cited
    • 2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited