The Research Of Data Mining In Higher Educational Management Systems

In recent years, college enrollment of all the country are constantly expanded, the gradual implementation of credit system in many universities, the Educational Administration has also become complicated, computer network technology, computer information technology is the rapid development of educational information in order to adapt to Development of requirements, some colleges and universities to purchase or develop their own web-based educational information management system, enabling the network of Educational Administration, and accumulated a great deal of useful data resources.In this paper, many universities in Henan province in the educational management system was analyzed and found that these systems are basically realized the performance management, online course selection, online registration, graduation audits, teaching evaluation of massive data query, backup, storage, and Reporting, basically have the statistical features, but does not provide an efficient way to help teachers and educational system for teaching management decision-making process. Can make full use of data mining technology in the power of data analysis to educational management information system for mass data analysis, found that the problems behind the data and rules so'as to teaching management services, and continue to improve educational management information system data Analysis, it is the subject of this paper.Senate Building a management information system architecture of the system to B/S and C/S mixed-mode structure, which can not only give full play to the role of various resources within the university, but also to enhance the level of university decision-making and management To achieve the digital campus to create a modern learning environment. On the traditional classical APriori algorithm and analysis, data mining using time-sharing approach to data mining association rules and algorithms based on hashing techniques APriori, and the algorithm applied to the educational management, in order to identify courses The relationship between the sequence. Of data mining technology in university teaching planning aspects of the more meaningful exploration.