%0 Journal Article
%T Efficient Algorithm for Mining Frequent Patterns over Offline Data Streams<br>一种高效的离线数据流频繁模式挖掘算法
%A HOU Wei
%A WU Chen-sheng
%A YANG Bing-ru
%A FANG Wei-wei
%A <br>侯伟
%A 吴晨生
%A 杨炳儒
%A 方炜炜
%J 计算机科学
%D 2009
%I 
%X Mining frequent patterns from data streams is one of the hottest research topics in data mining nowadays.The features of data streams,such as consecution,disorder and real-time,raise requirements for higher time and space performance of mining algorithms.Vibration of pattern frequency in data streams,compels the present algorithms to revise the synopsis structure continually,and leads up to disadvantage impact on both time and space efficiency.A more scalable synopsis structure SP-tree was designed firstly,...
%K 数据挖掘
%K 数据流
%K 频繁模式
%K 震荡性因子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F124965E199A97735DCD5CB300DC48D7&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=DF92D298D3FF1E6E&sid=002786F01A86D891&eid=4B1FFFA116F7AE3B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=15