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Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry
16 references·0 citing·38 second hop
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References

  • 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
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2011Customer churn prediction in telecommunications344 cited
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network149 cited
  • 2018Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods102 cited
  • 2017Churn prediction on huge telecom data using hybrid firefly based classification87 cited
  • 2017A churn prediction model for prepaid customers in telecom using fuzzy classifiers66 cited
  • 2016Particle classification optimization-based BP network for telecommunication customer churn prediction

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65 cited
  • 2022A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation65 cited
  • 2015A Multi-Layer Perceptron Approach for Customer Churn Prediction62 cited
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