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  • 标题:Mining Recurrent Pattern Identification on Large Database
  • 本地全文:下载
  • 作者:Shivangi Srivastava ; Ganesh Khadanga ; Divya Gupta
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2014
  • 卷号:6
  • 期号:04
  • 页码:142-146
  • 出版社:Engg Journals Publications
  • 摘要:Recurrent pattern mining is an important problem in the context of data mining. In this paper data mining algorithms have been discussed and compared. Recurrent pattern mining has been an important area in data mining research and it is the first step in the analysis of data rising in a broad range of applications. The algorithms are compared with respect to the items like methodology and its basic principles in terms of the elements user like support, and scan of the database (full or partial).
  • 关键词:Frequent item sets; Apriori; Association rule; Support; CDS
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