Mining Frequent Patterns in Data Using Apriori and Eclat: A Comparison of the Algorithm Performance and Association Rule Generation

Abstract

This paper aims to compare Apriori and Eclat algorithms for association rules mining by applying them on a real-world dataset. In addition to considering performance efficiency of the algorithms, the research takes into consideration the distribution of the support, as well as the number of rules generated by Apriori and Eclat.