%0 Journal Article
%T Finding Intentional Knowledge of outliers Based On Attribute Subspace<br>基于属性子空间的孤立点内涵知识挖掘
%A WANG Yue
%A LIU Ya-hui
%A TAN Shu-qiu
%A <br>王越
%A 刘亚辉
%A 谭暑秋
%J 计算机科学
%D 2011
%I 
%X Outliers usually contain important information, it can help improving the users' understanding of the data.New definitions of cause attribute subspace of outliers, degree of cause attribute subspace and similarity of outlicrs were given, and then an algorithm for finding intentional knowledge of outliers based on attribute subspace was proposed, the approach can obtain the cause attributes set of every outlier. Then the outliers were classified by their similarity combined with the thinking of clustering, all the outliers of every class have the same cause attributes set under certain precision. The experiment results show that the algorithm is effective and practical,and more ease of use.
%K Outlicrs
%K Attribute subspace
%K 0utlicrs similarity
%K Intentional knowledge<br>孤立点，属性子空间，孤立点相似度，内涵知识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=777A6A0582FFD8846445C83F785ADF93&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=FCD27DC5E1F2EEE7&eid=974CBB04624305A1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=7