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Mining Multiple-level Association Rules with Item Constraints in Distributed Database

ZHOU Ming,LI Hong(School of Information Science and Engineering,Central South University,Chang Sha 410083,China)  
With the development of distribute environment,to mine multiple-level association rules by layers according to users'actual demands,we proposed a new algorithm.According to the characteristics of mining association with item constraints and mining multiple-level association under distributed computing environment,this algorithm based on CD algorithm and Direct algorithm for distributed mining multiple-level association rules with item constraints is called MLACD,in which transaction tables are coded in terms of layers,and iterative mining strategy by layers is adopted.It is proved to be true and effective by experiments.
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