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http://dx.doi.org/10.3745/KTSDE.2015.4.11.499

High Utility Itemset Mining Using Transaction Utility of Itemsets  

Lee, Serin (성신여자대학교 컴퓨터학과)
Park, Jong Soo (성신여자대학교 IT학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.4, no.11, 2015 , pp. 499-508 More about this Journal
Abstract
High utility itemset(HUI) mining refers to the discovery of itemsets with high utilities which are not less than a user-specified minimum utility threshold, by considering both the quantities and weight factors of items in a transaction database. Recently the utility-list based HUI mining algorithms have been proposed to avoid numerous candidate itemsets and the algorithms need the costly join operations. In this paper, we propose a new HUI mining algorithm, using the utility-list with additional attributes of transaction utility and common utility of itemsets. The new algorithm decreases the number of join operations and efficiently prunes the search space. Experimental results on both synthetic and real datasets show that the proposed algorithm outperforms other recent algorithms in runtime, especially when datasets are dense or contain many long transactions.
Keywords
Data Mining; High Utility Pattern Mining; High Utility Itemsets; Transaction Utility;
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