Research and Implementation of Networked Student Management Information System in Colleges and Universities Based on Decision tree Algorithm

Abstract

Decision tree is one of the special methods in digital mining. Using decision tree algorithm, the relationship between model and digital can be found in massive digital, and dynamic prediction can be made accordingly. Find out the deficiencies in student information management, find valuable hidden information in the huge digital related to student information, analyze it, obtain the useful information needed, and summarize its useful rules for promoting the management and development of colleges and universities, As the basis for analysis and resolution-making and research on the direction of reform, a large amount of digital and information can be effectively used. This paper uses the decision tree algorithm commonly used in machine learning to learn knowledge from the existing student information management system, explores the knowledge information between digital, extracts useful rules from it, uses these rules to find the key factors affecting information management, and optimizes students reasonably. Information management work, so as to improve the level of education management.