%0 Journal Article
%T Outlier Detection over Sliding Windows for Probabilistic Data Streams
%A Bin Wang
%A Member
%A CCF
%A Xiao-Chun Yang
%A Senior Member
%A Member ACM
%A IEEE Guo-Ren Wang
%A ACM
%A IEEE
%A Ge Yu
%A IEEE School of Information Science
%A Engineering
%A Northeastern University
%A Shenyang
%A China Key Laboratory of Medical Image Computing
%A Ministry of Education
%A China
%A <br>王斌
%A 杨晓春
%A 王国仁
%A 于戈
%J 计算机科学技术学报
%D 2010
%I 
%X Outlier detection is a very useful technique in many applications, where data is generally uncertain and could be described using probability. While having been studied intensively in the field of deterministic data, outlier detection is still novel in the emerging uncertain data field. In this paper, we study the semantic of outlier detection on probabilistic data stream and present a new definition of distance-based outlier over sliding window. We then show the problem of detecting an outlier over a set o...
%K outlier detection
%K uncertain data
%K probabilistic data stream
%K sliding window<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=DCB127E0BFD194F3B7EE8B8F9F94AD2C&yid=140ECF96957D60B2&vid=C5154311167311FE&iid=38B194292C032A66&sid=40862C82D74F7473&eid=8ACD9060100C26F1&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=0