Adaptive multidimensional rebalancing for customer churn prediction in marketing analytics
This study proposes the Adaptive Multidimensional Rebalancing (AMR) framework, a framework that dynamically evaluates the local topological structure of the feature space, specifically local density, class overlap, and feature variability, to adap-tively allocate synthetic minority samples.
Ahmad Cahyono Adi, Surya Arafah, Beatrix Ayuwandira Dabur et al.
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