Nowadays, the concept of data mining is employed widely and created a great deal of
attention due to its fast arrival. Numerous approaches to frequent itemsets and association …

Frequent itemset mining is the most important step of association rule mining. It plays a very
important role in incremental data environments. The massive volume of data creates an …

Most epigenetic marks, such as Transcriptional Regulators or histone marks, are biological
objects known to work together in n-wise complexes. A suitable way to infer such functional …

Frequent itemset mining (FIM) is a major component in association rule mining, significantly
influencing its performance. FIM is a computationally intensive nondeterministic polynomial …

Frequent itemset mining (FIM) is a highly resource-demanding data-mining task
fundamental to numerous data-mining applications. Support calculation is a frequently …

An essential task of the event-based social network (EBSN) platform is to recommend events
to user groups. Usually, users are more willing to participate in events and interest groups …

Discovering maximal frequent itemsets is an important issue and key technique in many
data mining problems such as association rule mining. In the literature, generating maximal …

As an important part of urban development, night economy has become a new engine of
economic growth with the change of times and the improvement of consumption demand …