%0 Journal Article
%T Review of association rules mining in data streams<br>流式数据上关联规则挖掘研究综述*
%A ZHU Xiao-dong
%A SHEN Guo-hua
%A <br>朱小栋
%A 沈国华
%J 计算机应用研究
%D 2010
%I 
%X Vast real-time high speed streams data generate upon many engineering fields. Compared with traditional static data, streams data analysis faces great challenge in terms of resources. Association rules mining in data streams attract much attention due to its significant application in industries. This papr presented related formal definitions of association rules and the basic algorithm for association rules mining in data streams. Based on systematic investigation of association rules mining researches on streams data, analyzed issues and how they were resolved in current literatures. Also discussed the future directions in association rules mining.
%K data mining
%K data streams
%K association rules
%K frequent itemsets
%K frequent patterns
%K knowledge discovery<br>数据挖掘
%K 数据流
%K 关联规则
%K 频繁项集
%K 频繁模式
%K 知识发现
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EADCCB034BA219072070D68E1F573150&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=EE02F01B2AF9C89E&eid=69B79AFFE576C0B3&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=46