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An Integrated Framework for Optimizing Customer Retention Budget using Clustering, Classification, and Mathematical Optimization
16 references·0 citing·43 second hop
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References

  • 2021Machine Learning: Algorithms, Real-World Applications and Research Directions5,577 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2014Bayesian Optimization with Inequality Constraints347 cited
  • 2022K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data211 cited
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2024A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners151 cited
  • 2020A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA150 cited
  • 2020Profit Driven Decision Trees for Churn Prediction130 cited
  • 2022Customer Churn Prediction in Telecommunication Industry Using Deep Learning123 cited
  • 2018Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods102 cited
  • 2023Customer churning analysis using machine learning algorithms95 cited
  • 2024Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models94 cited
  • 2024Enhancing customer retention in telecom industry with machine learning driven churn prediction69 cited
  • 2024ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry

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65 cited
  • 2018Prescriptive analytics for human resource planning in the professional services industry60 cited
  • 2023Determinants of churn in telecommunication services: a systematic literature review57 cited
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