期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：6
页码：10282
DOI：10.15680/IJIRSET.2017.0606022
出版社：S&S Publications
摘要：Association Rule Mining is a branch of Data mining which aims at identifying associations betweendifferent items stored in large databases. Market Basket Analysis is one of the applications of Association Rule Miningwhich emphasizes on analysis of shopping baskets of customers to analyse their buying habits and mine such patternsfrom the massive amount of transactional records which can help retailers and shopping websites in developing theirmarketing strategies to increase their sales and hence maximize the profit. In this paper, Apriori algorithm is used tofind the strong association rules which are then judged for their interestingness on the basis of correlation measures.
关键词：Market Basket Analysis; Association Rule Mining; Apriori; Correlation
