Title: Data mining in college student education management information system

Authors: Huirong Yang; Wenjie Zhang

Addresses: School of Economics and Management, Fuzhou University of International Studies and Trade, Fuzhou 350000, Fujian, China ' School of Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang 330000, Jiangxi, China

Abstract: In recent years, with the maturity of database technology, the rapid popularisation of network technology, and the continuous updating of computer hardware, data mining technology has developed rapidly. This article mainly introduces the application of data mining technology in college student education management information systems, to provide some methods and ideas for better management of student information, and proposes the application research method of data mining in college student education management information systems, including education data. An overview of mining K-means algorithm and fuzzy C-means clustering algorithm is used to build a data mining system. The calculation results show that the average processing time of the algorithm in the system is 1.92 seconds, which guarantees the experience of education administrators with the system.

Keywords: data mining; clustering algorithm; data pre-processing; education management; information system.

DOI: 10.1504/IJES.2022.124841

International Journal of Embedded Systems, 2022 Vol.15 No.3, pp.279 - 287

Received: 29 Jan 2021
Accepted: 21 Apr 2021

Published online: 11 Aug 2022 *

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