Data mining in college student education management information system Online publication date: Thu, 11-Aug-2022
by Huirong Yang; Wenjie Zhang
International Journal of Embedded Systems (IJES), Vol. 15, No. 3, 2022
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.
Online publication date: Thu, 11-Aug-2022
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com