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Frequent-itemset mining only considers the frequency of occurrence of the items but does not reflect any other factors, such as price or profit. Utility mining is an extension of frequent-itemset mining, considering cost, profit or other measures from user preference. Traditionally, the utility of an itemset is the summation of the utilities of the itemset in all the transactions regardless of its...
The average utility measure reveals a better utility effect of combining several items than the original utility measure. In this paper, we propose a two-phase average-utility mining algorithm that can incrementally maintain the high average-utility itemsets as a database grows. Based on the concept of the FUP algorithm, the proposed algorithm combines the previously mined information from the original...
The average utility measure is adopted in this paper to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is then proposed to efficiently find the high average-utility itemsets. It uses the summation of the maximal utility among the items in each transaction including the target itemset as the upper bounds to overestimate the actual average...
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