A Cluster Base Fuzzy Multi Objective Rule Mining Using Metaheuristic Optimization Algorithm

The discovery of generalized fuzzy association rules is a very important data-mining task, because more general andqualitative knowledge can be uncovered for decision making. In this paper, we present an efficient method named cluster-based fuzzyrule mining using genetic algorithm. This method creates cluster-based fuzzy-sets tables by scanning the database once, and thenclustering the transaction records to the k-th cluster table, where the length of a record is k. clustering Based on the information storedin the table, less contrast and database scans are required to calculation association rule. Association rules extract using multi objectivegenetic algorithm.

Keywords:

Association Rule , Metahuristic Algorithm , Clustering , Fuzzy , Data mining