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From Network Experience to Subscriber Retention: An Explainable AI Framework for Mobile Operators
This paper presents an explainable AI-driven framework for predicting net churn among prepaid mobile subscribers. The framework formulates churn prediction as a machine learning task mapped onto an industry reference architecture. Moreover, it introduces a quantile-based feature densification transf
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