Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

Fraud detection is one of the most important tasks in Web platforms such as e-commerce,
social media, network security, and financial systems. To prevent fraudulent actions from …

High average utility pattern mining is the concept proposed to complement drawbacks of
high utility pattern mining by considering lengths of patterns along with the utilities of the …

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 …

High-utility pattern mining is an important sub-literature in the data mining literature. This
literature discusses the discovery of useful pattern information from large databases by …

Top-k high utility itemsets (HUIs) mining permits discovering the required number of patterns-
k, without having an optimal minimum utility threshold (ie, minimum profit). Multiple top-k …

Mining high utility itemsets are the basic task in the area of frequent itemset mining (FIM) that
has various applications in diverse domains, including market basket analysis, web mining …

High utility itemset mining can mine all itemsets that meet the minimum utility threshold set
by the decision maker, thus becomes a popular and prominent data-mining technique. High …

High utility itemset mining (HUIM) with negative utility is an emerging data mining task.
However, the setting of the minimum utility threshold is always a challenge when mining …

Recently, high utility pattern mining (HUPM) is one of the most important research issues in
data mining. Because it can consider the non-binary frequency values of items in a …