Application of Data Mining Technology Based on Weka in Student Management

Abstract

This paper studies the application of data mining technology based on Weka in student management. As an open data mining platform, Weka collects a large number of machine learning algorithms that can undertake the task of data mining, including data preprocessing, classification, regression, clustering, association rules and visualization on the new interactive interface. Student work is the central work of the school, and student management is the top priority of school management. Reflecting on the management of school students, I personally believe that the following aspects still need to be further strengthened: conduct in-depth research on the decision tree analysis method in data mining technology, deeply analyze the environment and resources of the school, correctly evaluate their own level, make their own value orientation, and put C4 The algorithm is applied in student management, constructs the student psychological state model based on student personal information, and obtains some relevant laws. Make the educational behavior complete the rational leap, form the correct teaching management thought, and lay the foundation for quality education to a higher level. Practice has proved that this method improves the efficiency and quality of students’ work, and provides a scientific reference for students’ management and guidance system.