%0 Journal Article
%T Text Classification Algorithm Study Based on Rough Set Theory<br>基于粗糙集理论的文本分类算法研究
%A LIN Xun
%A Li Zhi-shu
%A ZHOU Yong
%A <br>林殉
%A 李志蜀
%A 周勇
%J 计算机科学
%D 2011
%I 
%X Text dataset is transformed to information system without attribute of decision making and the core content of attribute reduction has been applied to text classification. Experiment shows that the precision rate and recall rate are enhanced in this method; furthermore, it does not require any a priori information.
%K Text classification
%K Rough set
%K Reduction<br>文本分类，粗糙集，约简
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E790D94D1390326A97F&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=708DD6B15D2464E8&sid=1DF3F9D75A12D97B&eid=74B2271DD93A4650&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0