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  • 标题:Association Rule Mining: A Survey
  • 本地全文:下载
  • 作者:Jagmeet Kaur ; Neena Madan
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:7
  • 页码:239-242
  • DOI:10.14257/ijhit.2015.8.7.22
  • 出版社:SERSC
  • 摘要:Last few years have seen a rapid growth in the area of data mining. Association rule mining is one of the most important techniques of data mining. It is a technique which is used to discover the frequently occurring patterns in the database. A lot of research has been done in the area of association rule mining. This paper gives a brief overview of association rule mining, some of its applications and algorithms. The limit of discussion is to the areas where association rule is used to a high extent.
  • 关键词:Data mining; association rule; CRM; FP-tree; apriori algorithm; FP- ; growth algorithm; census data
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