Using Apriori with WEKA for Frequent Pattern Mining

Abstract

Knowledge exploration from the large set of data,generated as a result of the\nvarious data processing activities due to data mining only. Frequent Pattern\nMining is a very important undertaking in data mining. Apriori approach applied\nto generate frequent item set generally espouse candidate generation and\npruning techniques for the satisfaction of the desired objective. This paper\nshows how the different approaches achieve the objective of frequent mining\nalong with the complexities required to perform the job. This paper\ndemonstrates the use of WEKA tool for association rule mining using Apriori\nalgorithm.\n