Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

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To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Thousands of people will be ...