Introducing New Hybrid Rough Fuzzy Association Rule Mining Algorithm

Association rules shows us interesting associations among data items. It means that an association rule clearly defines that how a data item is related or associated with another data item. That is why these types of rules are called Association rules. And the procedure by which these rules are extracted and managed is known as Association rule mining. Classical association rule mining had many limitations. As a result Fuzzy association rule mining (Fuzzy ARM) came. But Fuzzy ARM also has its limitations like redundant rule generation and inefficiency in large mining tasks. After that Rough association rule mining (Rough ARM) came which seemed to be a good alternative of Fuzzy association rule mining in terms of performance. But day by day our mining task is becoming huge. So, performing mining task efficiently and accurately over a large dataset is still a big challenge to us. In this paper we have presented a new hybrid mining method which has incorporated the concepts of both rough set theory and fuzzy set theory for association rule generation.