Application of association rule mining algorithm in the design of information-based teaching management system

DOI

10.2991/978-94-6463-262-0_88How to use a DOI?

Keywords

teaching management; Association rules; Mining algorithm; Data mining; Database management

Abstract

On this basis, combined with the characteristics of computer-aided instruction, a data-based computer-aided instruction management system is designed and implemented. On this basis, a data-based education management system is proposed, which is combined with the rule mining algorithm. On this basis, a data mining management system based on association rules is proposed. Association rule discovery algorithm can extract required information from massive association rules. The data obtained in this way can effectively manage the information resources of the university. This paper applies this method to my data requirements for implementing Kwalliso teaching from database to realize data-based teaching management, and analyzes the effectiveness of this system in the context of classroom questionnaires, customer interaction. Taking an information platform of a university as an example to test the performance of the system, the results show that the system can realize the course query function, has good client compatibility, can be applied to various browsers and operating systems, and has strong application and good data mining performance.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wang Zhi Qi
PY  - 2023
DA  - 2023/10/09
TI  - Application of association rule mining algorithm in the design of information-based teaching management system
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 843
EP  - 852
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_88
DO  - 10.2991/978-94-6463-262-0_88
ID  - Qi2023
ER  -