An Evaluation of Association Rule Mining for Market Basket Analysis

Abstract

Association Rule Mining (ARM) is now playing a very important role for identifying market strategies and to find out what are the items purchased consistently by various customers. ARM is a data mining function that discovers the probability of the co-occurrence of items in a collection. It is mainly used for focusing on the purchase of the items, to improve the sales strategy consistently with the help of sales transaction data and to maintain the inventory level positively. In this paper, the main objective is on the survey of association rule mining for market basket analysis. This paper provides vast detail about association rule mining which will be useful to minimize complexities of market basket analysis.