%0 Journal Article
%T LDC-mine:algorithm for mining outlier based on local deviation coefficient<br>LDC-mine——基于局部偏差系数的孤立点挖掘算法
%A ZHANG Chang
%A QIU Bao-zhi
%A <br>张长
%A 邱保志
%J 计算机应用
%D 2007
%I 
%X Outlier detection has always been a hot research field in Knowledge Discovery in Databases(KDD).Finding the rare abnormal behaviors or the outliers can be more interesting than finding the common patterns like credit card fraud,intrusion detection,etc.This paper provided a new Local deviation coefficient(LDC) factor and an algorithm for mining outlier based LDC-mine.The experiment shows that LDC-mine has higher efficiency of detecting outliers.
%K outlier detection
%K local deviation coefficient
%K local deviation ratio<br>孤立点检测
%K 局部偏差系数
%K 局部偏差率
%K 局部
%K 偏差系数
%K 孤立点挖掘
%K 挖掘算法
%K coefficient
%K deviation
%K local
%K based
%K outlier
%K mining
%K 入侵检测
%K 验证
%K 因子
%K 度量
%K 知识发现
%K 价值
%K 数据集
%K 异常行为
%K 研究
%K 应用
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=BAC43F665997D010B9A075735B16A1B3&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=C36EC077A8A90308&eid=C3BF5C58156BEDF0&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=7