Dianxin kexue, 2018 Aiming at prediction of telecom customer churn,a novel method was proposed to increase the prediction accuracy with the missing data based on the Bayesian network.This method used k-nearest neighbor algorithm to fill the missing data and adds two types ...
Yuxiang ZHAO +3 more
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A Large-Scale Study of Modern Code Review and Security in Open Source Projects. [PDF]
, 2017 Thompson, Christopher, Wagner, David A
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Research on telecom industry customer churn prediction based on explainable machine learning models
Dianxin kexueIn the telecom industry, accurate prediction of customer churn is crucial for the companies involved to maintain market competitiveness and increase revenue.
WANG Shengjie, ZHANG Qinghong
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Preventing customers from running away! Exploring generalized additive models for customer churn prediction [PDF]
, 2015 Benoit, Dries +2 more
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Neural network approach enhancing churn prediction with categorical encoding and standard scaling. [PDF]
Sci RepBhattacharjee B +7 more
europepmc +1 more source
Social Network Analysis and Churn Prediction in Telecommunications Using Graph Theory. [PDF]
Entropy (Basel), 2020 Kostić SM, Simić MI, Kostić MV.
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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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Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]
Sci RepLiu YW, Wang J, Liu C.
europepmc +1 more source