Customer Churn Prediction Based on Sentiment Score [PDF]
In recent years, the telecommunications industry has witnessed intensified competition, wherein the expense associated with acquiring new consumers exceeds that of sustaining existing ones.
Al-Safi, Shadha
core
Calibrated, cost-sensitive, explainable ensemble learning for customer churn prediction in retail banking: a leakage-safe pipeline and single-dataset case study. [PDF]
Karim F +7 more
europepmc +1 more source
Improving bank customer churn prediction with feature reduction using GA. [PDF]
T N N, Pramod D.
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
Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]
Liu YW, Wang J, Liu C.
europepmc +1 more source
Customer churn prediction model based on hybrid neural networks. [PDF]
Liu X, Xia G, Zhang X, Ma W, Yu C.
europepmc +1 more source
Using social network knowledge to enhance customer churn prediction
Customer churn prediction plays a crucial role in Customer Relationship Management (CRM). Early detection whether a customer will leave the company or not, can prevent potential damage to the customer base.
Benoit, Dries, Tsang, Wai
core
Negative correlation learning for customer churn prediction: a comparison study. [PDF]
Rodan A +4 more
europepmc +1 more source
Application of GWO-attention-ConvLSTM model in customer churn prediction and satisfaction analysis in customer relationship management. [PDF]
Zhang H, Zhang W.
europepmc +1 more source
A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model. [PDF]
He C, Ding CHQ.
europepmc +1 more source

