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Customer churn prediction using a novel meta-classifier: an investigation on transaction, Telecommunication and customer churn datasets
16 references·0 citing·56 second hop
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References

  • 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
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2024Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting165 cited
  • 2021Digital product innovations for the greater good and digital marketing innovations in communications and channels: Evolution, emerging issues, and future research directions152 cited
  • 2020Market power, competition and innovation in digital markets: A survey148 cited
  • 2018Statistical Challenges of Administrative and Transaction Data129 cited
  • 2009Variable selection by association rules for customer churn prediction of multimedia on demand115 cited
  • 2019Why you should stop predicting customer churn and start using uplift models90 cited
  • 2020Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce83 cited
  • 2018Agreement Analysis: What He Said, She Said Versus You Said74 cited
  • 2021E-business adoption costs and strategies for retail micro businesses68 cited
  • 2018Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector46 cited

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  • 2014Improving customer retention management through cost-sensitive learning35 cited
  • 2024Imbalanced customer churn classification using a new multi-strategy collaborative processing method33 cited
  • 2021The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis29 cited
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