Multidimensional Association Rules Studying And Applying In Students Information System

In the paper, the means is researched to mine multidimensional association rules and a effective means based on multidimensional frequent items set by practice in students information system is found.Mining data between people characters and their actions is a important aspect for multidimensional association rules.For example, association trend between students's nature information and their behavior.But many general mining tools have not paid much attention to these aspects.The paper propose a new means to mine multidimensional association rules based on multidimensional frequent items set by two steps. Firstly we obtain inter-dimension association rules by combining data cube technique with Apriori method efficiently. Secondly we mine multidimensional frequent items set and generate association rules.This step must be restricted by the multidimension outcome generated in the first step. The paper propose optimizing ways to improve mining efficiency.By applying the method to students information system we obtain many valuable knowledges which are helpful for college education.Interesting measurement problem often be considered in the process to mine association rules.The paper propose means to mine association rules which contain negative character item by correlation measurement.