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 …

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 …

Though the research topic of high utility itemset (HUI) mining has received extensive
attention in recent years, current algorithms suffer from the crucial problem that too many …

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 (HUIs) from databases is an important data mining task, which
refers to the discovery of itemsets with high utilities (eg high profits). However, it may present …

High utility itemsets (HUIs) mining refers to discovering sets of items that not only co-occur
but also carry high utilities (eg, high profits). HUI mining receives extensive attentions in …

High-utility itemset mining (HUIM) is an important task in data mining that can retrieve more
meaningful and useful patterns for decision-making. One-phase HUIM algorithms based on …

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 …

HUIM (High utility itemset mining) is a key problem in data mining. The goal is to find
itemsets having a high importance or profit in a database, to identify useful knowledge that …

High‐utility itemset (HUI) mining is an important tasks during data mining. Recently, many
algorithms have been proposed to discover HUIs. Most of the algorithms work only for …