Research of mining meta-association rules for dynamic association rule based on model of Grey-Markov
基于灰色Markov模型动态关联规则的元规则挖掘

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.