Study And Development Of Campus Card Decision Support System

This thesis is focused on the analysis of the campus card consume data ,study and construct of the campus card decision support system based on data warehouse ,online analysis process and data mining techniques, in order to mine the useful knowledge in the data. Firstly ,the basic theory of data warehouse, olap ,data mining and the kernel algorithm of the mining are introduced ,then analysis the information of campus card system elementarily, integrate and transfer several correlative database into a synthetical database so as to mine work expediently, afterwards we construct the data warehouse using Microsoft Analysis Services .K-means algorithm is adopted to carry the cluster analysis, and some useful knowledge are found, especially the cluster analysis on the consume time is made and give back the result of consume interzone; and introduce the time series forcasting using random sequence analysis and ARMA model. By above methods discussed, some assistant decision knowledge which are valuable to the decision of school's construction and so on are mined out . And it is carried out that the outcome of online analytical processing can be lay out by web, which make the dicision knowledge will be understood moor easily.The result of this paper validate that knowledge detect based on campus card system is suitable, it is creative for the work of mining knowledge from campus card . The preliminary experiment results made a good foundation of deeper knowledge acquiring and complete decision support system development in real sense when unified platform has been founded in the future .