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Optimized churn prediction using ensemble-based feature selection via second-order cone programming
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Optimized churn prediction using ensemble-based feature selection via second-order cone programming (2025)Optimized churn prediction using ensemble…Customer churning analysis using machine learning algorithms (2023)Customer churning analysis us…Propension to customer churn in a financial institution: a machine learning approach (2022)Propension to customer churn …Machine Learning to Develop Credit Card Customer Churn Prediction (2022)Machine Learning to Develop C…B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)B2C E-Commerce Customer Churn…A flexible robust model for blood supply chain network design problem (2022)A flexible robust model for b…Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping (2021)Telecom Churn Prediction Syst…Optimal management of defined contribution pension funds under the effect of inflation, mortality and uncertainty (2021)Optimal management of defined…Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms (2021)Designing a sustainable close…Customer churn prediction system: a machine learning approach (2021)Customer churn prediction sys…Stochastic differential games for optimal investment problems in a Markov regime-switching jump-diffusion market (2020)Stochastic differential games…Machine Learning Based Customer Churn Prediction In Banking (2020)Machine Learning Based Custom…Leveraging unstructured call log data for customer churn prediction (2020)Leveraging unstructured call …A Survey on Churn Analysis in Various Business Domains (2020)A Survey on Churn Analysis in…Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study (2019)Designing an efficient blood …Data Preprocessing in Data Mining (2014)Data Preprocessing in Data Mi…Annals of operations research (1989)Annals of operations researchMultiple criteria optimization (1986)Facility location in humanitarian relief (2008)Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis (2020)Logistics and Supply Chain Management (2021)Artificial neural network approaches for disaster management: A literature review (2022)Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic (2022)Stochastic Differential Equations: An Introduction with Applications. 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References

  • 2014Data Preprocessing in Data Mining1,374 cited
  • 1989Annals of operations research1,324 cited
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2021Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms253 cited
  • 2022B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM149 cited
  • 2020Stochastic differential games for optimal investment problems in a Markov regime-switching jump-diffusion market139 cited
  • 2019Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study110 cited
  • 2020Leveraging unstructured call log data for customer churn prediction110 cited
  • 2020A Survey on Churn Analysis in Various Business Domains109 cited
  • 2020Machine Learning Based Customer Churn Prediction In Banking109 cited
  • 2022Propension to customer churn in a financial institution: a machine learning approach102 cited
  • 2023Customer churning analysis using machine learning algorithms95 cited
  • 2021Optimal management of defined contribution pension funds under the effect of inflation, mortality and uncertainty85 cited
  • 2022A flexible robust model for blood supply chain network design problem84 cited

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  • 2022Machine Learning to Develop Credit Card Customer Churn Prediction79 cited
  • 2021Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping76 cited
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