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.

کلیدواژه ها:

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