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 …

Mining high-utility itemsets (HUIs) in transactional databases has become a very popular
research topic in recent years. A popular variation of the problem of HUI mining is to …

Abstract High Average-Utility Itemset (HAUI) mining is an emerging pattern mining technique
to extract meaningful patterns from a transaction dataset. In the past, several HAUI mining …

High average-utility itemset (HAUI) mining has recently received interest in the data mining
field due to its balanced utility measurement, which considers not only profits and quantities …

With the ever increasing number of applications of data mining, high-utility itemset mining
(HUIM) has become a critical issue in recent decades. In traditional HUIM, the utility of an …

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 …

Mining high utility itemsets is considered to be one of the important and challenging
problems in the data mining literature. The problem offers greater flexibility to a decision …

Closed high utility itemsets (CHUIs) and maximal high utility itemsets (MaxHUIs) are two
important concise representations of HUIs. Discovering these itemsets is important because …

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 …