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A meta-heuristic approach for enhancing performance of associative classification

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Associative Classification is an interesting approach in data mining to create more accurate and easily interpretable predictive systems. This approach is often built on both association rule mining and classification techniques, to find a set of rules called association rules for classification (CAR) of label attributes.

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Nội dung Text: A meta-heuristic approach for enhancing performance of associative classification

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