Implementation of the Apriori algorithm for association rule mining

Abstract

With massive amounts of data continuously being collected and stored, many industries are becoming interested in mining association rules from their databases. The discovery of interesting association relationships among huge amounts of business transaction records can help in many business decision making processes. Association rule mining contains some set of algorithms, whenever we mine the rules we have to use the algorithms. Weka, a software tool for data mining tasks contains the famous algorithm known as Apriori algorithm for association rule mining which computes all rules that have a given minimum support and exceed a given confidence. In this paper we are implementing Apriori algorithm using “weather data set” from weka. This paper also gives insights into the association rules mined by this algorithm in the implementation section.