%0 Journal Article
%T Research of mining meta-association rules for dynamic association rule based on model of Grey-Markov<br>基于灰色Markov模型动态关联规则的元规则挖掘
%A LIU Jun
%A XIE Yan-feng
%A ZHANG Zhong-lin
%A JIA Li-min
%A <br>刘俊
%A 谢彦峰
%A 张忠林
%A 贾利敏
%J 计算机应用
%D 2008
%I 
%X A rule called a dynamic association rule was introduced, which contained not only a support value and a confidence value but also a support vector and a confidence vector, and the usual mining process of the meta-association Rules for dynamic association rule by the model of Grey-Markov was introduced. This method applies the Markov theory in the foundation of G(1.1) model, and proved that this method is superior to G(1.1) and other methods in mining the meta-association rules.
%K dynamic association rule
%K meta-association rule
%K gray model
%K Markov chains
%K forecast<br>动态关联规则
%K 元规则
%K 灰色模型
%K Markov连
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=5240D2DC65CCADDADC5518BB95C5BAC6&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=685BB337AC54A626&eid=DE73B43A18DEAEE3&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8