With The The Multidimensional Restrictive Constraints Trading Rules Model And The Mining Algorithm

In order to find out the characteristics timely and rapidly during the course of sale, managers always analyze the sale condition by using association and sequence analyses to provide decision basis to the decider.But the common association and sequence analyses can not mine out the transact_ ion rules with multi-dimension limits. In this paper we construct the transaction rule model with multi-dimension limits, and through extending the Apriori algorithm and the FP_Growth algorithm we can get the algorithms which can be used to mine this model in the center computer system; through extending the FDM_LP algorithm we get the algorithms which can be used in the distributed computer system.This paper include four parts. In the first part we introduce some basic concepts of data warehouse and data mining; in the second part we discuss the transaction rule model with time limit and the algorithm to mine it; then we discuss the transaction rule model with multi-dimension limit and the algorithm to mine it in the third part; at last we discuss how to mine association rules in a distributed computer system and the problems which should be paid attention to in order to use the model constructed in this paper.As a new technology, data mining is still in the phase of study in our country, we do hope that all kinds of data mining methods, including the model and algorithms presented by myself of course, can be put into practice soon.