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Utility mining is proposed to consider additional measures, such as profits or costs according to user preference. In the past, a two-phase mining algorithm was proposed for fast discovering high utility itemsets from databases. In this paper, an incremental mining algorithm to efficiently update high utility itemsets is proposed for record insertion. Experimental results also show that the proposed...
Traditionally, the utility of an itemset is the summation of the utilities of the itemset in transactions regardless of its length. The average utility measure was then proposed to reveal a better utility effect of combining several items than the utility measure. In this paper, a maintenance algorithm for high average-utility itemsets is proposed for reducing execution time when records are deleted...
In this paper, we design a new kind of patterns, named high transaction-weighted utility itemsets, which considers not only individual profits and quantities of the items in a transaction, but also the contribution of each transaction in a database. We also propose a two-phased mining algorithm to discover high transaction-weighted utility itemsets. The experimental results on synthetic datasets show...
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