Discovering high average utility itemsets (HAUIs) in a quantitative database is a popular
data mining task, which aims at identifying sets of products (items) purchased together that …

Mining High Average-Utility Itemsets (HAUIs) in a quantitative database is an extension of
the traditional problem of frequent itemset mining, having several practical applications …

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 average-utility itemsets mining (HAUIM) is a key data mining task, which aims at
discovering high average-utility itemsets (HAUIs) by taking itemset length into account in …

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 …

High utility itemset (HUI) mining is a popular data mining task, which consists of discovering
sets of items generating high profit in a transaction database. Recently, several efficient …

High utility itemset mining can mine all itemsets that meet the minimum utility threshold set
by the decision maker, thus becomes a popular and prominent data-mining technique. High …

Mining high average-utility itemsets (HAUIs) is a promising research topic in data mining
because, in contrast to high utility itemsets, they are not biased toward long itemsets …

High utility itemset mining is a challenging task in frequent pattern mining, which has wide
applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation …

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 …