%0 Journal Article
%T Data Mining and Incremental Updating on Association Rules<br>关联规则的开采与更新
%A ZHOU Hai-yan
%A <br>周海岩
%J 软件学报
%D 1999
%I 
%X In this paper, the author analyzes the incremental updating algorithm (IUA) on association rules, points out its existing problems, and presents an improved algorithm, NEWIUA (new IUA), which takes full use of already existing and the current updated new frequent itemsets, therefore the efficiency is increased besides guaranteeing the validity of the algorithm. Three parallel algorithms for data mining on association rules are presented, the analysis and discussion on each algorithm are also presented.
%K Data mining
%K association rules
%K incremental updating
%K frequent itemsets
%K parallel algorithm<br>数据开采
%K 关联规则
%K 增量式更新
%K 频繁项目集
%K 并行算法.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=35194D00564311FF589ABAE0ED694CB6&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=F3090AE9B60B7ED1&sid=818971F8BC8F9389&eid=FBF817B1E8A20479&journal_id=1000-9825&journal_name=软件学报&referenced_num=25&reference_num=9