25 Nov 2024
A systematic review by Garcia et al. consolidates state-of-the-art in concept drift adaptation within text stream mining, identifying strategies, tools, and challenges. The analysis reveals critical gaps, including the scarcity of benchmark datasets with labeled drifts, prevalent use of static text representations, and a lack of standardized visualization methods.
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