An Algorithm for Data Management of Higher Education Based on Fuzzy Set Theory - Association Rule Mining Algorithm
DOI:
https://doi.org/10.31449/inf.v47i9.5222Abstract
Data management can enhance the efficiency of management in higher education. When combined with data mining and other technologies, it can offer a sound basis for making management decisions. This article combined the Apriori algorithm in association rules with fuzzy theory and optimized the FCM algorithm to mine fuzzy association rules for student course grades. The results indicated that the improved FCM algorithm demonstrated a more effective clustering effect on Iris, and the outcomes were closer to the actual values. Applying this method to fuzzy association rule mining could reveal the connections between students' course grades. For instance, when students achieved excellent grades in the course of computer application fundamentals, their performance in principles of computer composition was also good, and if they obtained excellent grades in computer application fundamentals and good grades in principles of computer composition, their grades achieved in operating systems were excellent as well. The experimental results validate the reliability of the fuzzy association rule mining algorithm, which enables the discovery of associations between different courses. Consequently, it provides valuable support for education and teaching.Downloads
Published
How to Cite
Issue
Section
License
I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.
I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.
In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.
I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal. The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.
Copyright © Slovenian Society Informatika