Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]
El Attar A, El-Hajj M.
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Churn Prediction Application in The Business World
The latest escalation in the trade war between the USA and China is bad news for stakeholders, financiers, and investors. Businesses are becoming worried that a significant market crash is imminent. Within this context, churn prediction is considered one
Zhuhadar, Lily Popova, Lawson, William
core
Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]
Liu YW, Wang J, Liu C.
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Mitigating class imbalance in churn prediction with ensemble methods and SMOTE. [PDF]
Suguna R +5 more
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A novel methodological approach to SaaS churn prediction using whale optimization algorithm. [PDF]
Kotan M +5 more
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Customer churn prediction model based on hybrid neural networks. [PDF]
Liu X, Xia G, Zhang X, Ma W, Yu C.
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Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning. [PDF]
Adiputra INM, Wanchai P, Lin PC.
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Application of GWO-attention-ConvLSTM model in customer churn prediction and satisfaction analysis in customer relationship management. [PDF]
Zhang H, Zhang W.
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A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model. [PDF]
He C, Ding CHQ.
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