Research Article Open Access

The Novel Approach based on Improving Apriori Algorithm and Frequent Pattern Algorithm for Mining Association Rule

Abstract

The effectiveness of mining association rules is a significant field of Knowledge Discovery in Databases (KDD). The Apriori algorithm is a classical algorithm in mining association rules. This paper presents an improved method for Apriori and Frequent Pattern algorithms to increase the efficiency of generating association rules. This algorithm adopts a new method to decrease the redundant generation of sub-itemsets during pruning the candidate itemsets, which can form directly the set of frequent itemset and remove candidates having a subset that is not frequent in the meantime. This algorithm can raise the probability of obtaining information in scanning database and reduce the potential scale of itemsets

Mohammad Shahnawaz Nasir, Dr. R B S Yadav

To read the full article Download Full Article | Visit Full Article