%0 Journal Article
%T Doubts about Min Confidence Threshold<br>对最小置信度门限的置疑
%A MA Zhan-Xin
%A WANG Xin-She
%A HUANG Wei-Tong
%A LU Yu-Chang
%A <br>马占欣
%A 王新社
%A 黄维通
%A 陆玉昌
%J 计算机科学
%D 2007
%I 
%X The two thresholds: min support and min confidence are often used to evaluate if a rule is a strong rule or not in association rules mining. The present paper analyzes and explores the practical significance of min confidence both theoretically and practically. It finds that not only the quality of the mined rules is comparatively low but also some important rules are probably missed out if min confidence is used to restrict. Different from previous research,this paper proposes that upgrade rate can reflect the actuality more accurately than min confidence and the result will be more accurate and clearer if min support and min upgrade are taken as the weighing rule in association rules mining.
%K Data mining
%K Association rules
%K Interest
%K Confidence
%K Upgrade rate<br>数据挖掘
%K 关联规则
%K 兴趣度
%K 置信度
%K 提升率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=699C36D254A4FCA9B52448E6B6917861&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=B31275AF3241DB2D&sid=CEC789B3C68C3BB3&eid=AD16A18DBD734D13&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6