%0 Journal Article
%T Survey of research on differential privacy<br>差分隐私保护研究综述
%A LI Yang
%A WEN Wen
%A XIE Guang-qiang
%A <br>李　杨
%A 温　雯
%A 谢光强
%J 计算机应用研究
%D 2012
%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>差分隐私
%K 隐私保护
%K 数据失真
%K 数据挖掘
%K 数据发布
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4189763B19B8AD456F21735B068461AE&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&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