Student Management Information System Based on Data mining

Colleges and universities are places for cultivating talents for the society. How to build a high-quality and high-culture college student team has become the focus of student management in colleges and universities. The basis of managing students lies in the full understanding and understanding of students, although the current college student information system records the information of enrolled students, but there are many drawbacks such as a large number of data, a simple management platform and a lack of intuitive embodiment, in order to solve this problem, give full play to the advantages of massive student information, and provide more meaningful decision-making basis for managers. Based on the data mining algorithm, this paper designs and researches the student management information system. This paper first describes the background significance of the student management information system and the current research status of the system, and builds the system framework according to the related technologies of Data mining algorithms. After the system is completed, the system is debugged. The debugging results can accurately reflect the feasibility of the system.

I. Introduction

At present, there are more and more computer data materials for schools to manage student information, and the workload of information management personnel has been very huge, especially in the process of teachers realizing teaching management functions such as grade inquiry and student registration management. The school needs to repeatedly carry out a large number of repetitive mechanical management operations on many business data resources, such as input, modification, statistical summary, information query and analysis, etc. However, across the country, there are still many traditional classroom student information management and work models. Facts have proved that the traditional management model is prone to errors and is not conducive to improving work efficiency. The traditional manual management model can no longer meet the needs of the current society [1]–[2].