%0 Journal Article
%T Outlier Detection Based on the Damped Model in Mixed Data Streams<br>基于衰减模型的混合属性数据流离群检测
%A SIJ Xiao-ke
%A LAN Yang
%A QIN Yu-ming
%A CHENG Yao-dong
%A <br>苏晓坷
%A 兰洋
%A 秦玉明
%A 程耀东
%J 计算机科学
%D 2010
%I 
%X Outlier detection in data streams poses great challenges due to the limited memory availability and real time detection requirement.A fast outlier detection algorithm in mixed data streams was introduced by clustering the data streams incrementally based on the damped model and generating the cluster features on behalf of the data distribution.The radius threshold value changed dynamically.When detection requirement was received the outlier factor of specified clusters was calculated and the clusters with h...
%K Mixed attribute
%K Data streams
%K Incremental clustering
%K Outlier detection
%K Damped model<br>混合属性
%K 数据流
%K 增量聚类
%K 离群检测
%K 衰减模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2442F8CAAA54FF3A6E0B5EB4D7795115&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=94C357A881DFC066&sid=0B4F496D54044D86&eid=F1177A9DF1349B63&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11