An Efficient Three-Scan Approach for Mining High Utility Itemsets
نویسندگان
چکیده
Utility mining finds out high utility itemsets by considering both the profits and quantities of items in transactions. In this paper, a three-scan mining approach is proposed to efficiently discover high utility itemsets from transaction databases. The proposed approach utilizes an itemset-generation mechanism to prune redundant candidates early and to systematically check the itemsets from transactions. Finally, the experimental results on a synthetic dataset show the superior performance of the proposed approach.
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