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Just-in-time customer churn prediction in the telecommunication sector
16 references·7 citing·39 second hop
Just-in-time customer churn prediction in the telecommunication sector (2017)Just-in-time customer churn prediction in…Customer churn prediction in the telecommunication sector using a rough set approach (2016)Customer churn prediction in …A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Improved churn prediction in telecommunication industry by analyzing a large network (2014)Improved churn prediction in …Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Churn prediction using compre…Social network analysis for customer churn prediction (2013)Social network analysis for c…Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining (2013)Predicting Customer Churn in …Interrater reliability: the kappa statistic (2012)Interrater reliability: the k…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Customer churn prediction in telecommunications (2011)Customer churn prediction in …Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)CRM at a pay-TV company: Usin…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…Predicting online-purchasing behaviour (2004)Predicting online-purchasing …Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Customer Satisfaction Cues To…A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry (2024)A proposed hybrid framework t…A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey (2024)A Decade of Churn Prediction …Prediction of Customer Behavior Changing via a Hybrid Approach (2023)Prediction of Customer Behavi…Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions (2022)Model Optimization Analysis o…Case based models of the relationship between consumer resistance to innovation and customer churn (2021)Case based models of the rela…Customer Churn Prediction In Telecommunication Industry Using Random Forest Classifier (2020)Customer Churn Prediction In …Just-in-time Customer Churn Prediction: With and Without Data Transformation (2018)Just-in-time Customer Churn P…Customer satisfaction, customer retention, and market share (1993)Why Satisfied Customers Defect (1995)Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids (2000)Quantitative models for direct marketing: A review from systems perspective (2008)Modeling Consumer Purchasing Behavior in Social Shopping Communities with Clickstream Data (2011)On the platform but will they buy? Predicting customers' purchase behavior using deep learning (2021)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)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)Significance tests and goodness of fit in the analysis of covariance structures. 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References

  • 2012Interrater reliability: the kappa statistic19,799 cited
  • 2000Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior629 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2011Customer churn prediction in telecommunications344 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
  • 2004Predicting online-purchasing behaviour267 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited
  • 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
  • 2014Churn prediction using comprehensible support vector machine: An analytical CRM application175 cited
  • 2013Social network analysis for customer churn prediction

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164 cited
  • 2014Improved churn prediction in telecommunication industry by analyzing a large network83 cited
  • 2013Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining79 cited
  • Cited by

    • 2022Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions44 cited
    • 2021Case based models of the relationship between consumer resistance to innovation and customer churn43 cited
    • 2018Just-in-time Customer Churn Prediction: With and Without Data Transformation39 cited
    • 2024A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry22 cited
    • 2023Prediction of Customer Behavior Changing via a Hybrid Approach18 cited
    • 2024A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey12 cited
    • 2020Customer Churn Prediction In Telecommunication Industry Using Random Forest Classifier12 cited