%0 Journal Article
%T Entropy-Based Model for Geo-Data Mining<br>基于信息熵的地学空间数据挖掘模型
%A ZHOU Chenghu
%A Zhang Jianting
%A <br>周成虎
%A 张健挺
%J 中国图象图形学报
%D 1999
%I 
%X More and more interest has been paid on Geo\|data mining and knowledge discovery from large database with the rapid growth of Geo\|data volume and eagerness for the Geo\|knowledge. This paper presents a data\|set partition model based on information entropy and mutual information. The author argued that the largest information entropy deduction is in accordance with the significant Geo\|data pattern. With this kernel theoretical base, information\|entropy\|based decision\|tree model and spatial\|temopral clustering by partition model were developed.
%K Information entropy
%K Data mining
%K Geo\|analysis model<br>信息熵
%K 数据库挖掘
%K 地学分析模型
%K 空间数据库
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=AD397FB4679742B2&yid=B914830F5B1D1078&vid=E158A972A605785F&iid=708DD6B15D2464E8&sid=7C8C2BAFC9BA0571&eid=9822743C2D2BE348&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=15&reference_num=18