%0 Journal Article
%T Research on data mining method based on attribute-oriented generalization and information gain<br>基于面向属性泛化及信息增益的数据挖掘方法研究
%A Zhang Wen-yu
%A Zhang Ming-hua
%A <br>张文宇
%A 张铭华
%J 计算机应用
%D 2006
%I 
%X According to the characteristics of attribute-oriented generalization method and knowledge granule successive based on rough set, after organically combining these two method, the classification rules could be rapidly mined in database. The method of attribute-oriented generalization was firstly used to generalize the dada, and then the technology of information gain was utilized to find the dependency relation of data. The algorithm was applied in the classical simulation example and the result is rational and reliable.
%K data mining
%K rough set
%K attribute generalization
%K information gain<br>数据挖掘
%K 粗糙集
%K 属性泛化
%K 信息增益
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=DA39B0A527B7BEE3&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=E158A972A605785F&sid=0B757E9DCA0EC579&eid=AD0A5DE51C29AB9F&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8