The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …

In this paper, we review recent progresses in the area of mining data from multiple data
sources. The advancement of information communication technology has generated a large …

In recent years, high-utility itemset mining has emerged as an important data mining task.
However, it remains computationally expensive both in terms of runtime and memory …

Rapid advances in wireless communication technologies have paved the way for a wide
range of mobile devices to become increasingly ubiquitous and popular. Mobile devices …

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 The study of High-Utility Itemset Mining (HUIM) and Frequent Itemset Mining (FIM)
is crucial since it explains consumer behavior and offers actionable advice to improve …

In contrast to frequent itemset mining (FIM) algorithms that focus on identifying itemsets with
high occurrence frequency, high-utility itemset mining algorithms can reveal the most …

High utility pattern mining has been actively researched as one of the significant topics in the
data mining field since this approach can solve the limitation of traditional pattern mining that …

Closed high utility itemsets (CHUIs) and maximal high utility itemsets (MaxHUIs) are two
important concise representations of HUIs. Discovering these itemsets is important because …

The task of mining high-utility itemsets in a database given a minimum threshold is attracting
more and more interest due to its many applications. Existing algorithms such as the vertical …