Mining Association Rules for Classification Using Frequent Generator Itemsets in arules Package

Abstract Mining frequent itemsets is an attractive research activity in data mining whose main aim is to provide useful relationships among data. Consequently, several open-source development platforms are continuously developed to facilitate the users' exploitation of new data mining tasks. Among these platforms, the R language is one of the most popular tools. In this paper, we defend the usefulness of providing a new version of arules package that can mine frequent generator itemsets, we describe the possibility of mining frequent generator itemsets in arules package, and we discuss what generators can be used for a classification task through an application example.