Practical Research on Regional Vocational Education Information Platform Based on Clustering Algorithm

Abstract

With the development of modern vocational education, great changes have taken place in students' information. With the massive increase of information, the traditional regional vocational education information processing capacity has become the bottleneck of the development of vocational colleges. In order to solve this problem and improve the accuracy of vocational education information data, this paper studies the regional vocational education information platform based on clustering algorithm. Compared with data mining using other technologies, the technical difficulty of clustering analysis method lies in how to mine the key attribute items of customer operation and system operation from various complex original data sources according to the actual application requirements, and then select the appropriate clustering algorithm to solve the problem. This paper designs and implements the regional vocational education information and student information management system. Student information management covers all aspects of student work in modern vocational colleges, involving student status, student achievement, classroom teaching, student affairs, mental health, comprehensive evaluation and other aspects. At the same time, taking the application of clustering algorithm in students' comprehensive evaluation, students' achievement evaluation and classroom teaching evaluation as an example, this paper realizes the clustering algorithm which is competent for students' information data processing. This method has a certain reference value for the research of regional vocational education information platform.