Mining high utility itemsets from a transactional database refers to the discovery of itemsets
with high utility like profits. Although a number of relevant approaches have been proposed …

Mining high utility itemsets from a transactional database refers to the discovery of itemsets
with high utility like profits. Although a number of relevant algorithms have been proposed in …

High utility itemsets mining extends frequent pattern mining to discover itemsets in a
transaction database with utility values above a given threshold. However, mining high utility …

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 …

Mining high utility itemsets from databases is an emerging topic in data mining, which refers
to the discovery of itemsets with utilities higher than a user-specified minimum utility …

High utility itemset mining problem involves the use of internal and external utilities of items
(such as profits, margins) to discover interesting patterns from a given transactional …

High utility pattern mining is an emerging data science task, which consists of discovering
patterns having a high importance in databases. The utility of a pattern can be measured in …

Association rule mining (ARM) identifies frequent itemsets from databases and generates
association rules by considering each item in equal value. However, items are actually …

High-utility itemset mining is a popular data mining problem that considers utility factors,
such as quantity and unit profit of items besides frequency measure from the transactional …

High utility itemset mining problem uses the notion of utilities to discover interesting and
actionable patterns. Several data structures and heuristic methods have been proposed in …