%0 Journal Article
%T Outlier Mining Model Based on ICA & SVM<br>基于ICA与SVM的孤立点挖掘模型
%A PENG Hong-Yi
%A JIANG Chun-Fu
%A ZHU Si-Ming
%A <br>彭红毅
%A 蒋春福
%A 朱思铭
%J 计算机科学
%D 2006
%I 
%X ISOM,Outlier Mining Model Based on ICA & SVM,is presented in this paper.This model transforms an observed multidimensional random vector into mutually independent components by ICA and estimates independent components' density function by SVM.Overcoming the defects of traditional outlier mining,the model of ISOM pro- vides an efficient method for data mining,and its correctness and reasonableness ars also validated by the experiment results in this paper.
%K Outlier
%K ICA(independent component analysis)
%K SVM(Support Vector Machine)
%K Estimation of density function<br>孤立点
%K ICA
%K SVM
%K 密度函数估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=725257A0819B9324&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=9CF7A0430CBB2DFD&sid=A58CF3BAE79427D0&eid=6425DAE0271BB751&journal_id=1002-137X&journal_name=计算机科学&referenced_num=4&reference_num=15