A Method of Mining the Meta-association Rules for Dynamic Association Rule Based on the Model of AR-Markov

Based on the dynamic association rules, this paper puts forward the formal definition of meta-rules which makes use of the support vector and confidence vector as evaluation of rules, and introduces the usual mining process of the Meta-association Rules for dynamic association rule by the model of AR-Markov, the examples show that this method is effective in the analysing and predicting the change tendency of Meta-association Rules' support value and confidence value.