期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9448
DOI：10.15680/IJIRCCE.2017.0505128
出版社：S&S Publications
摘要：The Frequent Item set generation using improved PSO over generalized dataset can be used in analyzingcustomer’s buying habits, so that we can predict the customer’s need and help the sellers to sell the items and build abetter relationship between them. Here we will use PSO algorithm for basket data analysis. Data mining, as adiscipline, is a group of techniques ranging from statistics, computer science, operation research and artificialintelligence, for efficient and automated discovery of previously unknown, valid, novel, actionable and understandableknowledge in large databases. Association rule mining is the data mining task employed to solve an important problemin marketing parlance viz., market basket analysis. This process analyses customer’s buying habits by findingassociations between the different items that customers place in their shopping baskets.
关键词：Association Rule Mining; PSO; Data analysis; Market basket analysis
