%0 Journal Article
%T Lazy Feature Selection Approach to Concept Drift in Dynamic Text Classification<br>动态文本分类中概念漂移问题的解决算法研究
%A YAN Peng
%A ZHENG Xue-feng
%A LI Ming-xiang
%A ZENG Guang-ping
%A <br>闫鹏
%A 郑雪峰
%A 李明祥
%A 曾广平
%J 计算机科学
%D 2008
%I 
%X The current dynamic text classification mode of lazy learning algorithms plus updating training set can't deal with concept drift well.So the paper issued a new approach based on lazy feature selection(LFS),a new mode derived from the main idea of lazy learning algorithm.This new approach also adopted many advantages of k-NN,and achieved excellent effect to resolve concept drift in dynamic text classification.
%K Text classification
%K Concept drift
%K Lazy learning
%K Feature selection<br>文本分类
%K 概念漂移
%K 消极学习
%K 特征选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A5B05E87F25EE630C630B7C0FF111D5E&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=F3090AE9B60B7ED1&sid=31611641D4BB139F&eid=954CE65414DD94CA&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10