Mining useful patterns from varied types of databases is an important research topic, which
has many reallife applications. Most studies have considered the frequency as sole …

Mining high utility itemsets from massive data is one of the most active research directions in
data mining at present. Intelligent optimization algorithms have been applied to the high …

Mining patterns with high utilization (or called high-utility itemset mining, HUIM) is
considered a major issue in recent decades especially in the market (eg, supermarket) …

Mining high utility itemsets is an emerging and very active research area in data mining. The
goal is to mine all itemsets with a utility value, in terms of importance to the user, no less than …

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 …

Abstract High-Utility Itemset (HUI) mining is an important data-mining task which has gained
popularity in recent years due to its applications in numerous fields. HUI mining aims at …

Abstract High-Utility Itemset Mining (HUIM) is considered a major issue in recent decades
since it reveals profit strategies for use in industry for decision-making. Most existing works …

Over the past decade, high-utility itemset mining (HUIM) has received widespread attention
that can emphasize more critical information than was previously possible using frequent …

Utility is an important concept in Economics. A variety of applications consider utility in real-
life situations, which has lead to the emergence of utility-oriented mining (also called utility …

High-utility itemset mining (HUIM) is one of the heavily studied fields of data mining, which is
due to its high compatibility with real-world applications. HUIM is a process of extracting a …