Consttuction and optimization of Higher Education Management System Based on Data Mining Technology

With the development of social informatization, educational informatization is also developing. At the stage of higher education, many colleges and universities have saved a lot of educational data, which poses new challenges to the educational management system of colleges and universities. Nowadays, traditional higher Education Management (abbreviated as EM for convenience) methods are still adopted, which neglect the shaping of students’ personalities and the satisfaction of emotional needs, and fail to comprehensively consider the differences in the problems encountered by different students in learning, growth, and social practice. This article was based on Data Mining (DM) technology to construct and optimize a higher EM system, aiming to use DM technology to construct and optimize an efficient EM system, so as to play its role in teaching, student management, employment, and other aspects, and promote the development of higher education. This article tested the satisfaction of higher EM systems using DM technology through experiments, and found that the average satisfaction score was 8.2 points. This indicated that the higher EM system based on DM technology could indeed have a good effect on the development of higher education.