Study on application of data mining technology in university computer network educational administration management system

Issue title: Special Section: Big data analysis techniques for intelligent systems

Guest editors: Ahmed Farouk and Dou Zhen

Article type: Research Article

Authors: Sun, Hongxia^{; *}

Affiliations: Xinglin College of Nantong University, Nantong Jiangsu, China

Correspondence: [*] Corresponding author. Hongxia Sun, Xinglin College of Nantong University, Nantong Jiangsu, China. E-mail: suinongv747@163.com.

Abstract:  University educational administration management system is one of the core tasks of digital campus. Data mining is a technology that taps potential information from a large amount of data according to a specific algorithm for researchers to analyze. The experimental comparison between the improved algorithm and the unmodified algorithm shows that the improved algorithm has better performance and can improve the convergence speed of the clustering and the accuracy of the clustering results. The improved algorithm is applied to the mining of student achievement evaluation. Finally, according to the comparison of the results of the traditional rating criteria with the dynamic rating evaluation results, the results confirm the rationality and feasibility of the management of college computer network education according to the clustering algorithm. According to the cluster analysis of these two models, it shows that it is meaningful to introduce data mining into the management of college computer network education administration.

Keywords: Data mining, clustering algorithm, teaching management

DOI: 10.3233/JIFS-179133

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3311-3318, 2019