Student Management Information Platform based on Clustering Algorithm

In today's world, the rapid progress of knowledge economy makes education the key asset that determines the level of economic and social development of a country. This situation has received a lot of attention from all the people concerned with student management. Research on the self-management style of college and university students can improve students' ability to self-direct their learning and self-consciously conduct and serve their own education. Nevertheless, the flaw in the building of this model of college administration needs to be analyzed. To overcome these issues, the platform of student management information is proposed by utilizing clustering based data mining. Experimentation in the student growth rate is plotted, which shows an increase from 10
^%
to 33% in the year 2019 and 21% in the year 2020 through 35% in the year 2021. The rise of the economy is the indication itself of the number of people that have access to higher education has increased in a few years.