The Design And Implement Of Data Mining In Student Information Management System Of Minjiang University

Over the years, Students’ statistical achievement data has been highly developedfor teaching assistant and human resource activities. However, we are not fully utilizingthe available resources such as data backup, query, and statistics, which couldpotentially result in a waste of capital. From an economical perceptive, we shoulddevelop a process to utilize these resources to its maximum at a reasonable setting forour future curriculum.Therefore, my proposed thesis is to apply: management system of higher educationteaching, mining the student achievement data, decision tree method to design thestudents’ scores Evaluation Module. This will result in the relationship between thefactors and factors affecting student development, so it can provide data based onpersonalized teaching strategies and knowledge assessments predict.In this paper, we build databases based on the specific circumstances of thestudents’ information management of Minjiang University, using data mining techniquesand combining C4.5decision tree algorithm, k-means clustering algorithm andFP_growth association rules to carry the data mining on the same batch of students ’test information. The result and objective of this new process is to provide decisionsupport information to promote better for teaching departments, and improve the qualityof teaching.