An Efficient Approach for Item Set Mining Using Both Utility and Frequency Based Methods in Java

Data mining is a coherent procedure that is utilized to seek through substantial measure of information to find out helpful information. The objective of this strategy is to discover designs that were not clearly known. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Generally, several applications are using data mining in different fields like medical, marketing and so on. Numerous methods and techniques have been developed for mining the information from the databases. In this paper, we propose an efficient method for itemset mining on utility and frequency based model and association rule mining based research works.