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  • 标题:Association Rule Mining for Supermarket Sale Analysis
  • 本地全文:下载
  • 作者:R. R. Shelke ; R. V. Dharaskar ; V. M. Thakare
  • 期刊名称:International Journal of Electronics, Communication and Soft Computing Science and Engineering
  • 印刷版ISSN:2277-9477
  • 出版年度:2015
  • 卷号:4
  • 期号:4
  • 页码:20
  • 出版社:IJECSCSE
  • 摘要:Data mining is the novel technology of discovering the important information from the data repository which is widely used in almost all fields which includes finance, process control, quality supervising, insurance, engineering and scientific data analysis etc. Recently, mining of databases is very essential because of growing amount of data due to its wide applicability in retail industries in improving marketing strategies. Analysis of past transaction data can provide very valuable information on customer behavior and business decisions. The amount of data stored grows twice as fast as the speed of the fastest processor available to analyze it.Its main purpose is to find the association relationship among the large number of database items. It is used to describe the patterns of customers' purchase in the supermarket. This is presented in this paper.
  • 关键词:Data mining; Associations; supermarket
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