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A Customer Churn Prediction Model in Telecom Industry Using Boosting
9 references·16 citing·47 second hop
A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)A Customer Churn Prediction Model in Tele…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Enterprise Systems: State-of-the-Art and Future Trends (2011)Enterprise Systems: State-of-…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Computer assisted customer churn management: State-of-the-art and future trends (2005)Computer assisted customer ch…A Strategic Framework for Customer Relationship Management (2005)A Strategic Framework for Cus…The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)The Impact of Customer Relati…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction (2023)Extreme gradient boosting tre…Determinants of churn in telecommunication services: a systematic literature review (2023)Determinants of churn in tele…Retracted: Customer - Churn Prediction Using Machine Learning (2022)Retracted: Customer - Churn P…A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)A Swish RNN based customer ch…Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector (2021)Multi-objective rain optimiza…Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach (2020)Customer switching behavior a…Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning (2018)Customer Churn Prediction Mod…Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling (2017)Intelligent churn prediction …Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Comparison of supervised mach…Churn prediction on huge telecom data using hybrid firefly based classification (2017)Churn prediction on huge tele…A review and analysis of churn prediction methods for customer retention in telecom industries (2017)A review and analysis of chur…A comparative study of customer churn prediction in telecom industry using ensemble based classifiers (2017)A comparative study of custom…A Survey on Customer Churn Prediction using Machine Learning Techniques (2016)A Survey on Customer Churn Pr…A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)A Big Data Clustering Algorit…Telco Churn Prediction with Big Data (2015)Telco Churn Prediction with B…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)Switching barriers and repurchase intentions in services (2000)Customer churn prediction using improved balanced random forests (2008)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer churn prediction in telecommunications (2011)Experiments in induction (1966)Experiments in Induction (1967)Applying data mining to telecom churn management (2005)A Data Mining-Based Framework for Supply Chain Risk Management (2018)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Predicting Employee Attrition Using Machine Learning Techniques (2020)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)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Customer churn prediction system: a machine learning approach (2021)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Modeling Customer Lifetime Value (2006)Customer churn prediction in the telecommunication sector using a rough set approach (2016)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Evaluating multiple classifiers for stock price direction prediction (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Customer churn prediction in telecom using machine learning in big data platform (2019)Knowledge management and data mining for marketing (2001)A comparison of machine learning techniques for customer churn prediction (2015)Zero defections: quality comes to services. (1990)The balanced scorecard: Translating strategy into action (1997)Evolving to a New Dominant Logic for Marketing (2003)A Customer Relationship Management Roadmap: What is Known, Potential Pitfalls, and Where to Go (2005)Resource-based theory in marketing (2013)Customer experience management: toward implementing an evolving marketing concept (2015)The Commitment-Trust Theory of Relationship Marketing (1994)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development (2003)Measuring Marketing Productivity: Current Knowledge and Future Directions (2004)Factors Influencing the Effectiveness of Relationship Marketing: A Meta-Analysis (2006)Factors Influencing the Effectiveness of Relationship Marketing: A Meta-Analysis (2006)Process modeling (1992)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)A reference system for internet based inter-enterprise electronic commerce (2002)Enterprise information systems state of the art: Past, present and future trends (2016)Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0 (2020)Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond (2022)Application of data mining techniques in customer relationship management: A literature review and classification (2008)
this work references cited by second hop

References

  • 2005A Strategic Framework for Customer Relationship Management2,094 cited
  • 2003The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration1,163 cited
  • 2011Enterprise Systems: State-of-the-Art and Future Trends681 cited
  • 1999Building Data Mining Applications for CRM599 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited

Cited by

  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2015Telco Churn Prediction with Big Data130 cited
  • 2016A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn118 cited
  • 2017Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior102 cited
  • 2020Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach

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94 cited
  • 2017Churn prediction on huge telecom data using hybrid firefly based classification87 cited
  • 2023Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction79 cited
  • 2016A Survey on Customer Churn Prediction using Machine Learning Techniques71 cited
  • 2022A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy71 cited
  • 2017A comparative study of customer churn prediction in telecom industry using ensemble based classifiers70 cited
  • 2017Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling63 cited
  • 2018Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning59 cited
  • 2023Determinants of churn in telecommunication services: a systematic literature review57 cited
  • 2021Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector54 cited
  • 2017A review and analysis of churn prediction methods for customer retention in telecom industries53 cited
  • 2022Retracted: Customer - Churn Prediction Using Machine Learning50 cited