Results 131 to 140 of about 639,400 (197)

Online game player churn prediction based on multiplex social influence through network embedding. [PDF]

PLoS One
Guo M, Liu Y.
europepmc   +1 more source

Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management. [PDF]

PLoS One
Ishaq M, Yaqub N, Fayaz M, Khan A, Saidani T, Saidani O.   +5 more
europepmc   +1 more source

Neural network approach enhancing churn prediction with categorical encoding and standard scaling. [PDF]

Sci Rep
Bhattacharjee B, Madhu U, Guha SK, Bhadra S, Das PK, Samantaray SP, Zubairuddin M, Tamboli S.   +7 more
europepmc   +1 more source

Combining predictive accuracy and interpretability: a data-driven approach to telecom churn analysis. [PDF]

Sci Rep
Hooda P, Mittal P, Shukla PK, Shukla PK, Pandey A.   +4 more
europepmc   +1 more source

Joint optimization of dynamic pricing and personalized recommendation for telecommunications value added services via multi agent reinforcement learning. [PDF]

Sci Rep
Zou Z, Ling H, Zhang C, Pan Z, Wang X, Chen J.   +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]

ScientificWorldJournal
Zeinali M, Ramezani Asli L, Khalili MA.
europepmc   +1 more source

Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics. [PDF]

Front Artif Intell
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]

Sci Rep
Alarfaj FK, Badouch M, Khan HU, Boutaounte M.   +3 more
europepmc   +1 more source

A comprehensive dataset of customer behavior in Latin American Fintech: 12-month transactional and demographic data for churn analysis. [PDF]

Data Brief
Muñoz-Guerrero LE, Ceballos YF, Trejos-Rojas LD.   +2 more
europepmc   +1 more source

A unified privacy-preserving data mining framework with multi-noise injection and hybrid deep learning for robust privacy-utility trade-offs. [PDF]

Sci Rep
Arun R, Premalatha K, Kannimuthu S.
europepmc   +1 more source