There are many algorithms mining high utility itemsets (HUIs) by pruning candidates based on the estimated utility values, and based on the transaction-weighted ...

High utility itemset mining is a research area of utility based data mining, aimed at finding itemsets that contribute high utility. This paper presents a novel ...

A Novel Approach to Extract High Utility Itemsets from Distributed Databases · Computer Science · 2013. TLDR.

Mining high utility itemsets from vertical distributed databases. Vo B., Nguyen H., Le B. Faculty of Information Technology, Ho Chi Minh City University of ...

In this paper, we present a parallel method for mining HUIs in vertically partitioned distributed databases. We use WIT-tree structure to store local database ...

In this paper, a high utility itemsets mining algorithm based on vertical database layout is proposed. Candidate high utility itemsets are discovered by ...

In this paper, we propose a vertical data structure-based algorithm called PHMN to discover periodic high-utility patterns (PHUPs) or itemsets in a transaction ...

Abstract—High utility quantitative itemset mining refers to discovering sets of items that carry not only high utilities (e.g.,.

Abstract. Traditional approaches in data mining focus on support and confidence measures which are just statistics based. Support and confidence measures ...

Return to Article Details EXPLOIT MINING HIGH UTILITY ITEMSETS WITH NEGATIVE UNIT PROFITS FROM VERTICALLY DISTRIBUTED DATABASES Download Download PDF.