Frequent itemset (or frequent pattern) mining is a technique used in big data mining to
discover frequently occurring sets of items (such as popular co-purchased merchandise) …

Erasable itemset mining discovers itemsets in product databases with benefits no greater
than a designated threshold value. By considering weight constraints and the recency of …

Frequent pattern mining is a popular technique in big data mining and analytics. It discovers
frequently occurring sets of items (eg, popular merchandise items, frequently co-occurring …

Today, various types of valuable data can be collected with ease and at a rapid pace. In
recent years, many governments, researchers, and organizations have been driven by open …

Sequential pattern mining is a dynamic and thriving research field that aims to extract
recurring sequences of events from complex datasets. Traditionally, focusing solely on the …