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  • 标题:AN IMPROVED CDAR ALGORITHM BASED ON REDUCING THE SCANNING TRANSACTION DATA
  • 本地全文:下载
  • 作者:LI-FENG WU ; JIAN XIAO
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:47
  • 期号:2
  • 页码:666-670
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The research modifies the CDAR algorithm to the itemsets scanning transaction data method, and joins in the concept of deleting the non-frequent itemsets in the transaction data. It judges whether the itemsets can satisfy the minimum support degree. In order to mine the association rules, the paper puts forward an effective algorithm, that is, improved CDAR algorithm. From the experimental estimation, it shows that the improve_CDAR algorithm can effectively improve the execute performance.
  • 关键词:Data Mining; Association Rule; Improved CDAR
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