%0 Journal Article
%T Web Document Classification Method Based on Variable Precision Rough Set Model<br>基于变精度粗糙集模型的Web文档分类方法
%A Wang Xiaoyue
%A Bai Rujiang
%A <br>王效岳
%A 白如江
%J 现代图书情报技术
%D 2005
%I 
%X After study on the variable precision rough sets model, this paper adopts variable precision rough sets model to classificate the Web documents.β is introduced, which allows to realize various classification levels of the Web documentsat according to the user’s demand through adusting β value.  The experiment results show that this method can effectively increase the classification flexibility under classification accuracy premise.
%K Variable precision rough set Attribute reduction Document classification<br>变精度粗糙集
%K 属性约简
%K 文档分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=8CF838DE94F1D46A&yid=2DD7160C83D0ACED&vid=659D3B06EBF534A7&iid=59906B3B2830C2C5&sid=987EDA49D8A7A635&eid=318E4CC20AED4940&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=8