首页    期刊浏览 2024年10月05日 星期六
登录注册

文章基本信息

  • 标题:A SHORTEST ANTECEDENT SET ALGORITHM FOR MINING ASSOCIATION RULES*
  • 本地全文:下载
  • 作者:QING WEI ; LI MA ; ZHAOGAN LU
  • 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:48
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:

    Aiming at the redundancy problem of association rules in the mining process of mining association rules, a kind of shortest antecedent set algorithm (SASA) for mining association rules is proposed in this paper, and the algorithm is supported by the set-enumeration tree structure. The proposed algorithm is able to record a kind of subset for association rules without any information loss, and this kind of subset contains the entire generated association rule nondestructive. Experimental results show that the algorithm can significantly reduce the number of association rules, and it also improves the efficiency of analyzing the association rules for users.

  • 关键词:Association Rule; Shortest Antecedent Set; Key Rule
国家哲学社会科学文献中心版权所有