Sequential pattern mining (SPM) has been applied in many fields. However, traditional SPM
neglects the pattern repetition in sequence. To solve this problem, gap constraint SPM was …

Mining closed high utility itemsets (CHUIs) involves finding a representative set of HUIs that
is usually smaller than that of HUIs but can generate the full HUIs without loss of information …

High utility itemset mining considers unit profits and quantities of items in a transaction
database to extract more applicable and more useful association rules. Downward closure …

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 …

Sequential pattern mining (SPM) is one of the main application areas in the field of online
business, e-commerce, bioinformatics, etc. The traditional approaches in SPM are unable to …

Utility pattern mining is a branch of data mining that extracts valid patterns by considering
the quantity and weight of the items. In addition, utility occupancy pattern mining, which …

For mutual benefit, data is shared among business organizations. However, this may result
in privacy and security threats. To address this issue, privacy-preserving data mining is …

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 …

Closed high-utility itemsets (CHUIs) offer a concise overview of high-utility itemsets (HUIs).
In this study, we focus on applying CHUI mining specifically in dynamic and incremental …

As a sub-problem of pattern discovery, utility-oriented pattern mining has recently emerged
as a focus of researchers' attention and offers broad application prospects. Considering the …