openaire +1 more source
Negative correlation learning for customer churn prediction: a comparison study. [PDF]
Rodan A +4 more
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Improving customer churn prediction using machine learning
Introduction This thesis explores the topic of customer churn prediction. It is a significant challenge faced by businesses across various industries like telecommunications and e-commerce.
Jagini, Achyut
core
An integrated explainable AI framework with counterfactual optimization for decision support. [PDF]
Jahan N, Maua J, Rozario U, Shoaib HA.
europepmc +1 more source
Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management. [PDF]
Ishaq M +5 more
europepmc +1 more source
Integrating Business Intelligence and CRM Systems With a Machine Learning Approach for Predictive Customer Retention in E-Commerce. [PDF]
Zeinali M, Ramezani Asli L, Khalili MA.
europepmc +1 more source
Leveraging artificial intelligence for predictive customer churn modeling in telecommunications: a framework for enhanced customer relationship management. [PDF]
Abdelhady MG, Mohamed KA.
europepmc +1 more source
Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics. [PDF]
Tian Y, Shao W, Deng Z.
europepmc +1 more source
AIM2 framework for smart marketing innovation using AI driven consumer analytics with SOR neural networks and XGBoost in Saudi retail. [PDF]
Alarfaj FK +3 more
europepmc +1 more source
A predictive analytics approach to improve telecom's customer retention. [PDF]
Omari A +3 more
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