%0 Journal Article
%T The Research of United Model of Knowledge Discovery State Space and Its Application<br>知识发现状态空间模型研究及其应用
%A YOU Fu-Cheng
%A YANG Bing-ru
%A <br>游福成
%A 杨炳儒
%J 计算机科学
%D 2005
%I 
%X There are both associations and differences between structured and unstructured data mining How to unite them together to be a united theoretical framework and to guide the research of knowledge discovery and data mining has become an urgent problem to be solved. On the base of analysis and study of existing research results, this paper puts forward the United Model of Knowledge Discovery State Space (UMKDSS), and associates the structured data mining and the complex type data mining together. UMKDSS can provide theoretical guidance for complex type data mining. An application example of UMKDSS is given in the end of this paper.
%K Knowledge discovery
%K Unstructured data
%K Knowledge templet<br>数据挖掘
%K 知识发现
%K 状态空间模型
%K 非结构化数据
%K 知识模板
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A90EF3B123563B17&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=38B194292C032A66&sid=5D9D6A8FC2C66FD8&eid=E0F6F365E4766526&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=5