Market Basket Analysis using Apriori Algorithm This project demonstrates the implementation of Association Rule Mining using the Apriori algorithm to uncover product relationships from retail ...

The vision for this project is to transform raw transactional data into strategic business intelligence. In the competitive retail landscape, understanding customer purchasing behavior is paramount.

Abstract: Association Rules is one of the data mining techniques which is used for identifying the relation between one item to another. Creating the rule to generate the new knowledge is a must to ...

Finding frequent itemsets is one of the most important fields of data mining. Apriori algorithm is the most established algorithm for finding frequent itemsets from a transactional dataset; however, ...

In this paper, the authors present a novel feature selection based on association rule mining using reduced dataset. This paper is to find closely related features using association rule mining method ...

Abstract: The military training performance data is the important embodiment of the military academy cadets' academic achievement, and is the first-hand data to test the military academy's teaching ...