Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management. [PDF]
Ishaq M +5 more
europepmc +1 more source
Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]
El Attar A, El-Hajj M.
europepmc +1 more source
Neural network approach enhancing churn prediction with categorical encoding and standard scaling. [PDF]
Bhattacharjee B +7 more
europepmc +1 more source
Combining predictive accuracy and interpretability: a data-driven approach to telecom churn analysis. [PDF]
Hooda P +4 more
europepmc +1 more source
Churn in later adulthood? A gendered life course approach using short-term panel data from the US Current Population Survey. [PDF]
Wang J, Moen P, Flood S.
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Leveraging artificial intelligence for predictive customer churn modeling in telecommunications: a framework for enhanced customer relationship management. [PDF]
Abdelhady MG, Mohamed KA.
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Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics. [PDF]
Tian Y, Shao W, Deng Z.
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Multiscale Characterization of Flow Instability for Gas-Liquid Two-Phase Flow. [PDF]
Sun QM, Yu QC, Ba D, Du Y.
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A comprehensive dataset of customer behavior in Latin American Fintech: 12-month transactional and demographic data for churn analysis. [PDF]
Muñoz-Guerrero LE +2 more
europepmc +1 more source

