Implementation of Optimization Using Eclat and PSO for Efficient Association Rule Mining
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Abstract
In this paper, the IEPSO-ARM technique used Eclat algorithm for generating the association rules. With help of Eclat algorithm, IEPSO-ARM technique initially estimates the support value to find the frequent items in the dataset and then determines correlation value to generate the association rules. Finally, the IEPSO-ARM technique designed an Eclat based Particle Swarm Optimization (E-PSO) algorithm for generating the optimized association rule to analyze the frequently buying products by customer in supermarkets and to improve sales growth maintenance of supermarkets. The performance of IEPSO-ARM technique is tested with the metrics such as running time for frequent itemset generation, memory for association rule generation and number of rules generated.
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Sample Dataset for Market Basket Analysis:http://recsyswiki.com/wiki/Grocery_shoppi