%0 Journal Article
%T Mining fuzzy temporal association rules<br>模糊时序关联规则挖掘
%A CUI Xiao-jun
%A XUE Yong-sheng
%A <br>崔晓军
%A 薛永生
%J 计算机应用
%D 2007
%I 
%X With the help of fuzzy calendar algebra and fuzzy operators, it is easy to describe desired temporal requirements. Time intervals may have different weights according to their membership functions. Integrated with the idea of progression and increment, an algorithm combined with incremental mining and progressive counting called BFCTAR was proposed to mine fuzzy temporal association rules based on fuzzy calendar algebra. Theoretic analysis and experimental results indicate that this algorithm is efficient and feasible.
%K association rules
%K fuzzy data mining
%K fuzzy set
%K fuzzy calendar algebra<br>关联规则
%K 模糊数据挖掘
%K 模糊集
%K 模糊日历代数
%K 模糊时序
%K 时序关联规则
%K 规则挖掘
%K association
%K rules
%K temporal
%K fuzzy
%K 算法
%K 结果
%K 实验
%K 分析
%K 理论
%K 挖掘方法
%K 基于模糊
%K 思想
%K 计数
%K 累进
%K 增量挖掘
%K 结合
%K 代数
%K 权重
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051231778D0D15834AF5&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=B4F9D541F855CF96&eid=2497388423811B81&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=11