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In many real-world applications, it is often the case that the class distribution of instances is imbalanced and the costs of misclassification are different. Thus, class-imbalance and cost-sensitive learning have attracted much attention from researchers. Sampling is one of the widely used approaches in dealing with the class imbalance problem, which alters the class distribution of instances so...
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