Using Apriori with WEKA for Frequent Pattern Mining

TL;DR

This paper demonstrates how to use the WEKA tool to implement the Apriori algorithm for frequent pattern mining, highlighting different approaches and their complexities in data mining tasks.

Contribution

It shows the application of Apriori algorithm within WEKA for association rule mining, illustrating various approaches and their complexities.

Findings

Effective implementation of Apriori in WEKA

Comparison of different approaches to frequent pattern mining

Insights into complexities involved in Apriori-based mining

Abstract

Knowledge exploration from the large set of data,generated as a result of the various data processing activities due to data mining only. Frequent Pattern Mining is a very important undertaking in data mining. Apriori approach applied to generate frequent item set generally espouse candidate generation and pruning techniques for the satisfaction of the desired objective. This paper shows how the different approaches achieve the objective of frequent mining along with the complexities required to perform the job. This paper demonstrates the use of WEKA tool for association rule mining using Apriori algorithm.