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 …

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 …

High-utility sequential pattern (HUSP) mining is an emerging topic in the field of knowledge
discovery in databases. It consists of discovering subsequences that have a high utility …

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 …

In pattern mining, users generally set a minimum threshold to find useful patterns from
databases. As a result, patterns with higher values than the user-given threshold are …

High-utility sequential pattern mining (HUSPM) has recently emerged as a focus of intense
research interest. The main task of HUSPM is to find all subsequences, within a quantitative …

High utility sequential pattern mining is an emerging topic in pattern mining, which refers to
identify sequences with high utilities (eg, profits) but probably with low frequencies. To …

High-utility sequential pattern mining (HUSPM) is a hot research topic in recent decades
since it combines both sequential and utility properties to reveal more information and …

High utility itemset mining is an emerging data mining task, which consists of discovering
highly profitable itemsets (called high utility itemsets) in very large transactional databases …

High utility sequential pattern mining has been considered as an important research
problem and a number of relevant algorithms have been proposed for this topic. The main …