Results 141 to 150 of about 1,692 (204)

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

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

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

Leveraging artificial intelligence for predictive customer churn modeling in telecommunications: a framework for enhanced customer relationship management. [PDF]

Sci Rep
Abdelhady MG, Mohamed KA.
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 predictive analytics approach to improve telecom's customer retention. [PDF]

Front Artif Intell
Omari A, Al-Omari O, Al-Omari T, Fati SM.   +3 more
europepmc   +1 more source

Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions. [PDF]

PLoS One
Nasir F, Ali Ahmed A, Yevseyeva I, Kiraz MS.   +3 more
europepmc   +1 more source

Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning. [PDF]

Sci Rep
Yang S.
europepmc   +1 more source