%0 Journal Article
%T Research on Multi-relational Data Mining Approaches<br>多关系数据挖掘方法研究*
%A XU Guang-mei
%A YANG Bing-ru
%A ZHANG Wei
%A NING Shu-rong
%A <br>徐光美
%A 杨炳儒
%A 张伟
%A 宁淑荣
%J 计算机应用研究
%D 2006
%I 
%X Most existing data mining approaches look for patterns in a single table,Multi-Relational Data Mining(MRDM) approaches directly look for patterns that involve multiple tables(relations) from a relational databases.MRDM approaches can solve some problems which is difficult to deal with for propositional data mining approaches.Apart from better expressiveness,MRDM approaches could also make full use of background knowledge in the process of discovery.In recently years,using ILP technology for reference,many popular data mining methods have been extended to the multi-relational case,such as relational association rules,relational classification approaches,etc.
%K Multi-Relational Data Mining(MRDM)(Relational Data Mining
%K RDM)
%K Inductive Logic Programming(ILP)
%K Relational Classification and Regression
%K Relational Association Rules
%K Relational Distance-based Methods<br>多关系数据挖掘(关系数据挖掘)
%K 归纳逻辑程序设计
%K 关系分类回归
%K 关系关联规则
%K 基于距离的关系方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D7F132F1807E212C&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=9CF7A0430CBB2DFD&sid=5D311CA918CA9A03&eid=59906B3B2830C2C5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=50