%0 Journal Article
%T Mining of Multi-Relational Association Rules<br>挖掘多关系关联规则
%A HE Jun
%A LIU Hong-Yan
%A DU Xiao-Yong
%A <br>何军
%A 刘红岩
%A 杜小勇
%J 软件学报
%D 2007
%I 
%X Association rule mining is one of the most important and basic technique in data mining,which has been studied extensively and has a wide range of applications.However,as traditional data mining algorithms usually only focus on analyzing data organized in single table,applying these algorithms in multi-relational data environment will result in many problems.This paper summarizes these problems,proposes a framework for the mining of multi-relational association rule,and gives a definition of the mining task.After classifying the existing work into two categories,it describes the main techniques used in several typical algorithms,and it also makes comparison and analysis among them.Finally,it points out some issues unsolved and some future further research work in this area.
%K data mining
%K association rule
%K relational database
%K star schema<br>数据挖掘
%K 关联规则
%K 关系数据库
%K 星型模式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=3F36A513C1ED14D437D2FA22F345D8E8&yid=A732AF04DDA03BB3&vid=13553B2D12F347E8&iid=708DD6B15D2464E8&sid=D4DAFE9F6FF94072&eid=FD2F08F1989887AD&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=34