Results 1 to 10 of about 9,240 (196)

Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]

Front Artif Intell
El Attar A, El-Hajj M.
europepmc   +1 more source

Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]

Sci Rep
Liu YW, Wang J, Liu C.
europepmc   +1 more source

Customer churn prediction model based on hybrid neural networks. [PDF]

Sci Rep
Liu X, Xia G, Zhang X, Ma W, Yu C.
europepmc   +1 more source

Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries. [PDF]

Biomimetics (Basel), 2023
Mengash HA, Alruwais N, Kouki F, Singla C, Abd Elhameed ES, Mahmud A.   +5 more
europepmc   +1 more source

Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning. [PDF]

PeerJ Comput Sci
Adiputra INM, Wanchai P, Lin PC.
europepmc   +1 more source

Early warning of telecom enterprise customer churn based on ensemble learning. [PDF]

PLoS One, 2023
Zhou Y, Chen W, Sun X, Yang D.
europepmc   +1 more source

Application of GWO-attention-ConvLSTM model in customer churn prediction and satisfaction analysis in customer relationship management. [PDF]

Heliyon
Zhang H, Zhang W.
europepmc   +1 more source

A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model. [PDF]

Sci Rep
He C, Ding CHQ.
europepmc   +1 more source

Negative correlation learning for customer churn prediction: a comparison study. [PDF]

ScientificWorldJournal, 2015
Rodan A, Fayyoumi A, Faris H, Alsakran J, Al-Kadi O.   +4 more
europepmc   +1 more source

Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university. [PDF]

SN Appl Sci, 2023
Saleh S, Saha S.
europepmc   +1 more source