High‐utility itemset (HUI) mining is an important tasks during data mining. Recently, many
algorithms have been proposed to discover HUIs. Most of the algorithms work only for …

High utility itemset mining (HUIM) with negative utility is an emerging data mining task.
However, the setting of the minimum utility threshold is always a challenge when mining …

High utility itemsets (HUIs) mining is one of the emerging topics in frequent itemset mining
(FIM). HUIs mining provides more informative and actionable information compared to FIM …

In recent years, high-utility itemset mining has emerged as an important data mining task.
However, it remains computationally expensive both in terms of runtime and memory …

High-utility itemset mining (HUIM) is an important data mining task with wide applications. In
this paper, we propose a novel algorithm named EFIM (EFficient high-utility Itemset Mining) …

High-utility itemset mining (HUIM) is a popular data mining task with applications in
numerous domains. However, traditional HUIM algorithms often produce a very large set of …

High utility itemsets are sets of items having a high utility or profit in a database. Efficiently
discovering high utility itemsets plays a crucial role in real-life applications such as market …

High utility itemsets mining is a subfield of data mining with wide applications. Although the
existing high utility itemsets mining algorithms can discover all the itemsets satisfying a …

High utility itemsets refer to the sets of items with high utility like profit in a database, and
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …

High-utility itemset mining is a prominent data-mining technique where the profit or weight of
itemsets plays a crucial role in defining meaningful patterns. High average-utility itemset …