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  • 标题:A Review on PSO and Association Rule Mining for Item Set Generation
  • 本地全文:下载
  • 作者:Sweta Mishra ; Yamini Chouhan
  • 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:1
  • 页码:480
  • DOI:10.15680/IJIRCCE.2017.0501097
  • 出版社:S&S Publications
  • 摘要:Data mining, as a discipline, is a group of techniques ranging from statistics, computer science,operation research and artificial intelligence, for efficient and automated discovery of previously unknown, valid,novel, actionable and understandable knowledge in large databases. Association rule mining is the data mining taskemployed to solve an important problem in marketing parlance viz., market basket analysis. This process analysescustomer’s buying habits by finding associations between the different items that customers place in their shoppingbaskets. Here we will use PSO algorithm for basket data analysis. We will try to analyse the buying habits of thecustomers, so that we can predict the customers need and help the seller to sell the items and to build a betterrelationship between them.
  • 关键词:Association Rule Mining; PSO; Data analysis; Market basket analysis
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