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Classification of customer churn prediction model for telecommunication industry using analysis of variance
13 references·3 citing·53 second hop
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References

  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
  • 2021Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective568 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2019Why you should stop predicting customer churn and start using uplift models90 cited
  • 2022A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy71 cited
  • 2014Churn Prediction in Telecommunication Industry Using Rough Set Approach48 cited
  • 2022Intelligent Decision Forest Models for Customer Churn Prediction32 cited
  • 2021Customer churn prediction for telecommunication industry: A Malaysian Case Study29 cited
  • 2021Applied Big Data Analysis to Build Customer Product Recommendation Model25 cited
  • 2021The use of knowledge extraction in predicting customer churn in B2B25 cited
  • 2019A Hybrid Prediction Model for E-Commerce Customer Churn Based on Logistic Regression and Extreme Gradient Boosting Algorithm20 cited
  • 2009Visioning and Engineering the Knowledge Society. A Web Science Perspective18 cited

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2024
Customer Churn Prediction in the Telecom Sector
12 cited
  • 2024Factors influencing green, environmentally-friendly consumer behaviour10 cited
  • 2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited