Innovation and exploration of medical college student education management work from the perspective of big data

Abstract

This paper analyzes the problems existing in the management of medical college students, and discusses the application of fuzzy data mining theory in the management of medical college students. The research designs a data mining method, which can perform cluster analysis on college students, so as to discover the types of students in colleges and universities, and to judge which type a student belongs to, which has theoretical and practical significance for medical college student management. Compared with the existing algorithm, the proposed optimization algorithm improves the performance by 15% and the accuracy by 7%, which has high practical significance.