Data Mining And Application Of Campus Card System

Campus card system is a complex system, after years of development, it become more and more mature, and it's applications are more and more to a wide range, through the effective integration of various resources, integration and optimization, to achieve efficient allocation of resources and full utilization of resources. Meanwhile, the amount of data save in the database increased at an surprising rate, as users have come to expect to obtain more precise information from the data, it will be beneficial to the management of students and through gather statistics of, analyze and excavate the date in the various stages, make the variety of resources and information in campus to be a high degree of concentration and integration.This work, first elaborate the technology of database, the basic principles of data mining technology and the core algorithm for data mining, then use the data of campus card as the Objects for analyze, to gather statistics of, analyze and excavate the data, reflect the student as the main body of the customer relationship management, mainly analyzed from two aspects: First, the selection, clustering, association of data from the database on the campus card, second,student-oriented schools use the consume data to analyze and verify students' life and study, there are several aspects of concrete work:first, collect the campus card-related data, and conduct pre-processing and data analysis, form the original database.second,analyze the feasibility of relevant data, third, analyze and verify the data For the students as the main body of the customer relationship management.This work shows that it is meaningful for the data mining be used in the analysis of the data in campus card , through the above analysis and research, through the application of each unit and the specific consumption data, the work of audit granting stipend and providing the loan extend credit will be more rational and efficient and objective than just collect the application of students from each faculty.