May 9, 2015 · In recent years, extensive studies have been conducted on high utility itemsets (HUI) mining with wide applications.
In this paper, we address all of the above challenges by proposing a new frame- work for mining high utility itemsets in big data. To our knowledge, this ...
In this paper, we propose an algorithm, called HUI-Miner (High Utility Itemset Miner), for high utility itemset mining. HUI-Miner uses a novel structure, called ...
Abstract: Existing algorithms for utility mining are inadequate on datasets with high dimensions or long patterns. This paper proposes a hybrid method, ...
High utility itemset mining (HUIM) is a data mining technique that identifies the itemsets with utility levels exceeding a pre-determined threshold.
The goal of high utility itemset mining is to discover itemsets (sets of items) that appear in a quantitative database and have a high utility (e.g. yield a ...
High utility itemset mining is an important data mining problem which considers profit factors besides quantity from the transactional database.
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Apr 11, 2023 · High-utility rare itemset mining: A data mining task that combines HUIM and rare itemset mining. It aims to find itemsets that have a high ...
As a solution, this paper formulates the task of targeted mining of the top- k high-utility itemsets and proposes an efficient algorithm called TMKU based on ...
The task of mining high-utility itemset is to discover the complete set of itemsets with a utility that satisfies a prespecified minimum utility threshold: u ...
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