%0 Journal Article
%T Mining fuzzy association rules for processing industry based on fuzzy clustering<br>基于模糊聚类的模糊关联规则在流程企业中的应用
%A YAN Wei
%A ZHANG Hao
%A LU Jian-feng
%A <br>闫伟
%A 张浩
%A 陆剑峰
%J 计算机应用
%D 2005
%I 
%X To optimize processing industry's production,the large history data were analyzed by fuzzy association rules.Firstly,the RFCM algorithm and Apriori algorithm were expounded.The production parameters were fuzzed by fuzzy clustering algorithm.Depending on Fuzzy_ClustApriori algorithm,the fuzzy association rules were studied and implemented in processing industry.Then the valuable fuzzy rules were got.Based on the rules,the production of processing industry can be improved.
%K data mining
%K fuzzy clustering
%K fuzzy association rules
%K RFCM algorithm
%K Fuzzy ClustApriori algorithm
%K processing industry<br>数据挖掘
%K 模糊聚类
%K 模糊关联规则
%K RFCM算法
%K fuzzy_ClustApriori算法
%K 流程企业
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=A5F2FC7AABF428E0&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=4D1CC0E253B128AE&eid=AE6B903C3EEB6EB8&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7