| Issue |
SHS Web of Conf.
Volume 187, 2024
2023 2nd International Conference on Educational Science and Social Culture (ESSC 2023)
|
|
|---|---|---|
| Article Number | 04030 | |
| Number of page(s) | 4 | |
| Section | Social Digital Development and Intercultural Communication | |
| DOI | https://doi.org/10.1051/shsconf/202418704030 | |
| Published online | 20 March 2024 | |
Data Mining Technology in Teaching Evaluation of Colleges and Universities
1 Hunan International Economics University, Hunan 410006, China
2 Hunan College of Foreign Studies, Hunan 410000, China
a 51033252@qq.com
b 51639902@qq.com
Data Mining refers to the large amount of data from the database through algorithmic search reveals implicit, previously unknown and potentially valuable process information[1]. Currently, many areas during the application of data mining. Data mining association rules is one of the most important and most mature technology research methods, association rule mining can find the hidden link between the transaction and meaningful rules. The purpose of this study is to evaluate data mining techniques combined with teaching, to extract useful information from a large number of evaluation data hiding, thereby providing a basis for decision support educational administration department, improve teaching quality.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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