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 …

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 …

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 mining (HUIM), which is an extension of well-known frequent itemset
mining (FIM), has become a key topic in recent years. HUIM aims to find a complete set of …

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 …

High utility itemsets (HUIs) mining is an emerging topic in data mining, which refers to
discovering all itemsets having a utility meeting a user-specified minimum utility threshold …

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 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 (HUIM) is the task of finding all items set, purchased together, that
generate a high profit in a transaction database. In the past, several algorithms have been …