%0 Journal Article
%T Parallel Data Ming Algorithm of Sequential Associations<br>序列关联并行挖掘算法研究
%A LI Qing-Hua ZHAO Feng
%A <br>李庆华
%A 赵峰
%J 计算机科学
%D 2003
%I 
%X Ming sequential associations is becoming increasing essential in many scientific and commercial domains . Developing parallel algorithm becomes quite challenging depending on enormous size of available dataset and possibly large number of mined associations,the nature of input data and the timing constraints imposed on the desired associations. In this pape,we discuss several different parallel algorithms that cater to various situations to speed up the current mining process.
%K Data mining
%K Sequential associations
%K Parallel algorithm<br>数据仓库
%K 序列关联
%K 并行挖掘算法
%K 数据挖掘
%K 数据集
%K 数据库
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=4712FBB9900CD0F9&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=5D311CA918CA9A03&sid=DDD31293A7C7D057&eid=8477411EEDB08A86&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=7