| The management information system of the educational administration is an important component of construction of digital campus,and educational administration is the important component of management of institution of higher education. The level of the educational administration has reflected the management level of the university from a side, thus it concerns the existence, development and position in the present social competition of an university. Under the circumstances that the modern science and technology are promoted, with the deepening gradually of reform in education of university, the management of educational administration faces a lot of new challenges. To with this, combining the construction of the management information system of educational administration of SCRTVU(Sichuan Radio and TV University), this subject designs and develops research to the management information system of educational administration which faces the digital campus.On the basis of describing the research current situations of the digital campus and the management information system of educational administration of institution of higher education, this thesis introduces the theoretical foundation and development thought of developing management information system of the educational administration briefly, and investigates basic database design, function of software and hardware environment, and relevant technology further.The thesis summarizes,analyses and studies the current status of the data mining technique in our country and overseas widely and roundly and then summarizes and discusses its developmental trends and hot research fields. The definition and orientation of the data mining is reviewed in brief first. Based on the basic concepts of data mining,this thesis classifies and summarizes the objects of data mining and the common techniques in detail. In succession, all of the above become the basis for this thesis.Based on the basic concepts of the association rules, this thesis analyses and studies the Apriori algorithms of association rules in detail. All kinds of optimized techniques which are designed to promote the algorithms efficiency are also studied in detail here. Based on the basic, the Apriori algorithm based on supporting events is proposed. The result shows that the Apriori algorithm based on supporting events can improve the efficiency greatly. The improved algorithm is also used in this system. |
