%0 Journal Article
%T Bayesian Classifier Based on the Fast Attribute Selection for Intrusion Detection<br>基于快速属性选择的贝叶斯分类在入侵检测中的应用
%A WANG Xiang
%A HU Xue-Gang
%A <br>王翔
%A 胡学钢
%J 计算机科学
%D 2008
%I 
%X As a consequence of the increasing security problems and huge data in high-speed networks, it is urgent to develop new Intrusion Detection Techniques. Naive Bayesian is one of the most important approaches in data mining, and it has a high ranker in Intru
%K Fast attribute selection
%K Naive Bayesian classifier
%K IDS<br>快速属性选择
%K 朴素贝叶斯分类
%K 入侵检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5C91A4CFFCE76D53A1ABECF1AF39AFE8&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=70AC2EF7F2065E09&eid=D59111839E7C8BDF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9