首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Frequent Pattern Mining and Customer Retention using Vertical Data Set and Boolean Matrix
  • 本地全文:下载
  • 作者:S.Tejaswi ; Ch.Sita Kameswari
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:6
  • 页码:5503-5504
  • 出版社:TechScience Publications
  • 摘要:Association Rule mining is one of the mostimportant functionality in data mining, by using which we canfind out the frequent patterns.By the association rule miningeither we can find out the frequent patterns of item sets or wecan find out the customers who visits our shopping mallfrequently. In this paper who propose a vertical data setwhich consists of two rows where we have the Customer-ID’sand the items which they purchased. Here we use Booleanmatrix technique to represent the data and by using it we caneasily find out frequent items purchased by the customers, sothat we can improve our sales by this frequent pattern miningas well as we can find out which customers purchased ourfrequent item sets, so we can give some exclusive offers tothose customers, so that we can improve our sales.
  • 关键词:Boolean Matrix; Logical And; Transaction;Reduction; Vertical Data Set.
国家哲学社会科学文献中心版权所有