Abstract

In recent years, data mining is an important aspect for generating association rules among the large number of itemsets. Association rule mining is one of the techniques in data mining that that has two sub processes. First, the process called as finding frequent itemsets and second process is association rules mining. In this sub process, the rules with the use of frequent itemsets have been extracted. Researchers developed a lot of algorithms for finding frequent itemsets and association rules. Recently association rule mining systems have been designed using a combination of soft computing techniques.