Results 71 to 80 of about 8,319 (166)

CUSTOMER RETENTION – CRM APPLICATION [PDF]

Issues in Information Systems, 2010
Sam Nataraj
doaj  

Editorial: Soft computing and artificial intelligence techniques in decision making, management and engineering. [PDF]

Front Artif Intell
Leon-Castro E, Merigo JM, Blanco-Mesa F, Alfaro Garcia VG.   +3 more
europepmc   +1 more source

An integrated explainable AI framework with counterfactual optimization for decision support. [PDF]

PLoS One
Jahan N, Maua J, Rozario U, Shoaib HA.
europepmc   +1 more source

Calibrated, cost-sensitive, explainable ensemble learning for customer churn prediction in retail banking: a leakage-safe pipeline and single-dataset case study. [PDF]

Front Artif Intell
Karim F, Alam MI, Lalafaryan A, Mkrtchyan A, Hovakimyan A, Mustafizur M, Alam GT, Manik MMTG.   +7 more
europepmc   +1 more source

Machine learning prediction of customer satisfaction in fitness centres. [PDF]

Sci Rep
Alonso Dos Santos M, García Fernández J, Pérez Campos C, Cuevas Lizama J.   +3 more
europepmc   +1 more source

The CDC/APHL next generation sequencing quality initiative: practical guidance to implementing quality management systems in laboratories performing next generation sequencing (phase 2). [PDF]

J Clin Microbiol
Cherney B, Diaz A, Ghattas C, Gregory M, Stow E, Onyewuenyi J, Kocherlakota LS, White L, Vidyaprakash E, Scott S, Lamar JK, McKinney G, Parekh U, Arambula D, Stang H, CDC/APHL NGS Quality Initiative.   +15 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

Piloting a Digital App Based on the Friendship Bench for Depression and Anxiety in Palestine: Mixed Methods Study. [PDF]

JMIR Ment Health
Lakis C, Sherally J, Braakman A, Abirami Ramiah S, van Herpen M, Khammash S, Tarazi L, Khammash U, Dabis J, Rabello E, Adelwahab M, Pratley P, Chibanda D.   +12 more
europepmc   +1 more source

A novel hybrid deep learning framework for customer churn prediction using RFM and embedding clustering. [PDF]

Sci Rep
Ibrahim S, Tawfik BS, Makhlouf MA, Hafiz B.   +3 more
europepmc   +1 more source

A new perspective on data leakage prevention and adaptive attention in telecom churn prediction. [PDF]

Sci Rep
Le DT, Nguyen MT.
europepmc   +1 more source