%0 Journal Article
%T Research on Algorithms of Association Rules Data Mining Based on Reduction Scale<br>基于规模压缩的关联规则数据挖掘算法研究
%A HE Li
%A <br>何丽
%J 计算机科学
%D 2007
%I 
%X Data mining based on association rules is one of the most active and new research in the field of artificial in- telligence and database.Association rules are an important aspect of research of data mining.The new algorithms pro- duces a more small amount of candidate patterns when it looks for the frequent patterns of the data base,using theory that the Parent pattern of the non-frequent pattern is non-freqent pattern.So it can reduce the scale of the candidate- frequent patterns greatly.It can be easily implemented,and can improve the efficiency greatly by deleting those useless records.
%K Association rules
%K Data mining
%K Reduction scale
%K Algorithms<br>关联规则
%K 数据挖掘
%K 规模压缩
%K 算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D2CF5CC300CA406B&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=9CF7A0430CBB2DFD&sid=856C2E13D1000DB7&eid=2DBBF45CC176713E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6