Analyze Market Basket Data using FP-growth and Apriori Algorithm

Abstract

In this paper we find the association rules among the large dataset. To find association rules we use two algorithm i.e.e.e. FP - growth and Apriori algorithms. First we find frequent itemsets using Weka tool and Rapid - miner tool. Then we generate association rules from the frequent itemsets. We have analyzed that as per this research FP - tree much faster than Apriori algorithm to generate association rules when we use large dat aset.