%0 Journal Article
%T Optimal algorithm of data streams clustering on sliding window model<br>滑动窗口模型下的优化数据流聚类算法
%A HU Yu
%A YAN Qiao-meiInstitute of Measuring
%A Controlling Technology
%A Taiyuan University of Technology
%A Taiyuan Shanxi
%A China
%A College of Computer
%A Software
%A <br>胡彧
%A 闫巧梅
%J 计算机应用
%D 2008
%I 
%X Streaming data clustering algorithm was improved based on sliding window model with the purpose of high cluster quality and efficiency. The new algorithm adopted cluster feature histograms as the data supporting structure. Compared with traditional cluster algorithms, the complexity and clustering effect of new algorithm was further improved. In addition, the algorithm is of better efficiency, less memory overhead and fast data processing capabilities, and the application of data streaming mining technologies is expanded.
%K data streams
%K sliding window
%K cluster
%K histogram
%K data mining<br>数据流
%K 滑动窗口
%K 聚类
%K 直方图
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=E2104651162B8C41CE87FB0FBD5CE496&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=8FB078CA6698CB38&eid=B240D359488D2362&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8