%0 Journal Article
%T Adaptive Method for Handling Local Concept Drift of Data Streams Classification<br>一种自适应局部概念漂移的数据流分类算法
%A YIN Zhi-Wu
%A HUANG Shang-Teng
%A <br>尹志武
%A 黄上腾
%J 计算机科学
%D 2008
%I 
%X Based on the DB2 method,an adaptive method called IncreDB2 is proposed to detect and adapt to local concept drift continuously in data stream classification.This method dynamically maintains a hierarchical classification tree.When local concept drift is detected,IncreDB2 only updates the nodes that affected by this drift rather than rebuilds a new classification tree from scratch,which means that it has better time efficiency.Experimental results demonstrated the validity and efficiency of this method.
%K Data stream mining
%K Multi-classification
%K Local concept drift<br>数据流挖掘
%K 多分类
%K 局部概念漂移
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=111F172F753F32377C60FEB6C6751FE7&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=0B39A22176CE99FB&sid=09E495F616948E78&eid=12DC19455C3A2FA8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=9