%0 Journal Article
%T Research on Weighted Fuzzy Association Rules<br>加权模糊关联规则的研究
%A LU Jian-Jiang
%A <br>陆建江
%J 计算机科学
%D 2003
%I 
%X Algorithms for mining quantitative association rules consider each attribute equally, but the attributes usually have different importance. Two kinds of algorithms for mining the weighted fuzzy association rules are provided with respect to two kinds of database. The first algorithm can effectively consider the importance of quantitative attributes , and considers that the importance of association rule is not increased with the amount of attributes in the rule. The second algorithm not only considers the importance of quantitative attributes, but also considers that the importance of association rule is increased with the amount of attributes in the rule.
%K Data mining
%K Quantitative attributes
%K Association rules
%K Fuzzy
%K Support
%K Confidence
%K Fuzzy c-means<br>数据库
%K 加权模糊关联规则
%K 数量型属性
%K 模糊聚类
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1DA98CB6891DE86E&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=94C357A881DFC066&sid=1AE5323881A5ECDC&eid=D997634CFE9B6321&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=6