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 …

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 …

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 …

Discovering high utility itemsets in transaction databases is a key task for studying the
behavior of customers. It consists of finding groups of items bought together that yield a high …

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 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 itemset mining is the problem of finding sets of items whose utilities are higher
than or equal to a specific threshold. We propose a novel technique called mHUIMiner …

High utility itemsets can reveal combinations of items that have a high profit, expense, or
importance. Mining high utility itemsets in a database with items generally results in a huge …

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 …

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 …