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The problem of mining single-label data streams has been extensively studied in recent years. However, not enough attention has been paid to the problem of mining multi-label data streams. In this paper, we propose an improved binary relevance method to take advantage of dependence information among class labels, and propose a dynamic classifier ensemble approach for classifying multi-label concept-drifting...
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