Improvement Research on Higher Education Students Management based on Clustering Algorithms
Year: 2024
Type: article
Abstract: With the continuous development of technology, big data analysis techniques have been widely applied in various fields.In traditional management approaches, administrators rely on manual data analysis and processing, which not only lacks efficiency but is also prone to errors.On the contrary, analysis methods based on clustering algorithms can provide effective support for management tasks.In this article, we will use the K-Means clustering algorithm to extract useful information, thereby effectively improving the performance of college students on campus.We carefully preprocess this information, remove redundant content, and then categorize it, leading to a significant enhancement in college students' performance.
Source: Journal of Data Processing
Authors: Kai Shen, Xinyi Yuan
Institutions: Wuxi Taihu University, Wuxi Institute of Technology
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4405815039