Design And Implementation Of Higher Educational Management Systems Based On Data Mining

With the rapid development of China’s higher education,the moderninformation technology of China’s higher education have obtained the rapid improvement, educational management system has been widely used in university management of aspects, buteducational management system of China uses merely the most traditional andbasic educational applications and servicescurrently, data mining of practice and application fields are not widespreadin China,meanwhile,they are used rarely in university educational management.As time goes by, the data in the university educational management system is increasing continuously, which is becomingincreasingly hugeness and complexity.Inthis case, using data mining technologiescan associate value with contents, and find good utility value, which better serve for the university development. Meanwhile,the universities need pay sufficient attention to this aspect, and then take feasible measures toimprove continuously the data mining techniques of standardand to achieve development ofuniversities rapidly and healthily.The authors’ is working in a dean’s office of Hunan university, analyzed the educational management system in order to achieve the registration services,course selecting services,grades management,curriculum management,graduation handling and huge amounof management, to grasp the overall current, future macroeconomic ts of data inquiry, backup, storageand reporting function management.Through the analyzed the function of the existing system,try starting the highest perspectivesituation,in order to solve the problems,shortcomings of existing.The traditional association rule algorithm has been deeply studied especially typical Apriori algorithm, and we then proposed Apriori improving algorithm.This paper discovers research and analysis about the algorithm—Apriori based on the most elementary association rules, we put forward the algorithm about using time-sharing data mining,and applies to the academic affairs management,so as to we findthe relationship about the order of classes. The paper makes a meaningful research on data mining technology which is applied to teachingplan in universities.