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arXiv · 1410.2988

An Algorithm for Mining High Utility Closed Itemsets and Generators

Jayakrushna Sahoo·Ashok Kumar Das·A. Goswami
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Abstract

Traditional association rule mining based on the support-confidence framework provides the objective measure of the rules that are of interest to users. However, it does not reflect the utility of the rules. To extract non-redundant association rules in support-confidence framework frequent closed itemsets and their generators play an important role. To extract non-redundant association rules among high utility itemsets, high utility closed itemsets (HUCI) and their generators should be extracted in order to apply traditional support-confidence framework. However, no efficient method exists at present for mining HUCIs with their generators. This paper addresses this issue. A post-processing algorithm, called the HUCI-Miner, is proposed to mine HUCIs with their generators. The proposed algorithm is implemented using both synthetic and real datasets.

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Jayakrushna Sahoo, Ashok Kumar Das, A. Goswami. 2014-10-11. An Algorithm for Mining High Utility Closed Itemsets and Generators. https://arxiv.org/abs/1410.2988

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