Customer Churn Prediction for the Icelandic Mobile Telephony Market
, 2011 In 2010, the penetration of the Icelandic mobile telephony market has reached about 120%. Competition is fierce in such a highly saturated market. Customers become more and more demanding on price and service.
Emilía Huong Xuan Nguyen 1985-
core
A novel hybrid deep learning framework for customer churn prediction using RFM and embedding clustering. [PDF]
Sci RepIbrahim S +3 more
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Improving bank customer churn prediction with feature reduction using GA. [PDF]
Sci RepT N N, Pramod D.
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Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]
Front Artif IntellEl Attar A, El-Hajj M.
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Customer Churn Analysis and Prediction [PDF]
International Journal of Computer Applications Technology and Research, 2019 Aditya Kulkarni +3 more
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Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]
Sci RepLiu YW, Wang J, Liu C.
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, 2017 Customer churn is one of the most critical issues faced by the telecommunications industry. In the telecommunications industry, it is more expensive to acquire a new customer as compared to retaining the current one.
Jawatankuasa Kerja PSM JATI
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Customer churn prediction model based on hybrid neural networks. [PDF]
Sci RepLiu X, Xia G, Zhang X, Ma W, Yu C.
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Customer Churn Prediction Using Big Data Analytics
, 2016 Customer churn is always a grievous issue for the Telecom industry as customers do not hesitate to leave if they don’t find what they are looking for.
TANNEEDI, NAREN NAGA PAVAN PRITHVI
core
Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning. [PDF]
PeerJ Comput SciAdiputra INM, Wanchai P, Lin PC.
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