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Identification of Customer Churn Considering Difficult Case Mining
8 references·2 citing·43 second hop
Identification of Customer Churn Considering Difficult Case Mining (2023)Identification of Customer Churn Consider…Enhanced Deep Feed Forward Neural Network Model for the Customer Attrition Analysis in Banking Sector (2019)Enhanced Deep Feed Forward Ne…Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization (2019)Churn prediction in Turkey's …Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Large-scale Ensemble Model fo…A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…A big data analytics model for customer churn prediction in the retiree segment (2018)A big data analytics model fo…A novel cost-sensitive framework for customer churn predictive modeling (2015)A novel cost-sensitive framew…Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Understanding the Customer Ba…The causes of bank customer churn based on XGBoost and LightGBMmodels: the evidence from the Kaggle dataset (2024)The causes of bank customer c…Data-Driven Decision-Making: Accurate Customer Churn Prediction with Cat-Boost (2024)Data-Driven Decision-Making: …Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Marketing metrics: the definitive guide to measuring marketing performance (2010)Profit Optimizing Churn Prediction for Long-Term Loyal Customers in Online Games (2018)Giant fight: Customer churn prediction in traditional broadcast industry (2021)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)The Commitment-Trust Theory of Relationship Marketing (1994)"Migrating" to New Service Providers: Toward a Unifying Framework of Consumers' Switching Behaviors (2004)Do Satisfied Customers Buy More? 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this work references cited by second hop

References

  • 2000Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers1,305 cited
  • 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
  • 2018A big data analytics model for customer churn prediction in the retiree segment125 cited
  • 2015A novel cost-sensitive framework for customer churn predictive modeling56 cited
  • 2018Large-scale Ensemble Model for Customer Churn Prediction in Search Ads52 cited
  • 2019Enhanced Deep Feed Forward Neural Network Model for the Customer Attrition Analysis in Banking Sector12 cited
  • 2019Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization12 cited

Cited by

  • 2024Data-Driven Decision-Making: Accurate Customer Churn Prediction with Cat-Boost8 cited
  • 2024The causes of bank customer churn based on XGBoost and LightGBMmodels: the evidence from the Kaggle dataset5 cited

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