%0 Journal Article
%T The Research of Algorithm of Attribute-Based Detection of Outlier Data<br>一种基于属性的异常点检测算法
%A LIU Hong-Tao
%A TONG De-Li
%A CHEN Shi-Fu
%A <br>刘洪涛
%A 童德利
%A 陈世福
%J 计算机科学
%D 2005
%I 
%X Outlier data detection is an important part of data mining. It is a hotspot in data mining researc. Based on the analysis of the exsiting algorithms of outlier data detection, this paper put forward a new outlier detection algo- rithm based on attribute. We introduce the status quo of outlier detection briefly, and analyze the algorithm of outlier detection based on attribute particularly. This paper shows the design basis of the new algorithm, the depiction of the new algorithm and the analysis of the complexity of the new algorithm and so on. Compared with another algorithm based on distance by experiment, the new algorithm has an obvious superiority in detection precision and time con- sumption.
%K Data mining
%K Outlier data
%K Outlier detection<br>数据挖掘
%K 异常数据
%K 异常点检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=3F5EFFC938446080&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=94C357A881DFC066&sid=F260CE035846B3B8&eid=43608FD2E15CD61B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=16