Business Intelligence

Utility FP-Tree: An Efficient Approach to Mine Weighted Utility Itemsets

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Executive Summary

Conventional association rules mining cannot satisfy the demands emerging from certain real applications. By regarding the diverse values of distinct items as utilities, utility mining concentrates on discovering the itemsets with high utilities. In recent times, high utility pattern mining is one of the most significant research issues in data mining because of its ability to account for the non-binary frequency values of items in transactions and diverse profit values of each item. In this paper, the authors have presented an efficient tree structure for mining high utility itemsets. At first, they have developed a novel utility frequent-pattern tree structure, an extended tree structure for storing crucial information about utility itemsets.

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