Research Article
Assistant Teaching System of Human Resource Management Course Based on Data Mining
@INPROCEEDINGS{10.1007/978-3-031-21161-4_21, author={Ying Ye}, title={Assistant Teaching System of Human Resource Management Course Based on Data Mining}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Data mining Human resource management Course assistant teaching Student users Snort plug-in Course detection engine}, doi={10.1007/978-3-031-21161-4_21} }- Ying Ye
Year: 2023
Assistant Teaching System of Human Resource Management Course Based on Data Mining
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_21
Abstract
The traditional assistant teaching system of human resource management course has some problems, such as small data transmission capacity, long system response time and so on. For this reason, this paper proposes an assistant teaching system of human resource management course based on data mining. Establish the snort plug-in mechanism, improve the connection behavior of the course detection engine according to the data mining principle, and then store the teaching information in the database host with the help of the transmission channel organization, so as to build the software execution environment of the teaching system, and complete the design of the auxiliary teaching system of human resource management course based on data mining in combination with the structure of relevant hardware equipment. The experimental results show that, compared with the traditional teaching system, under the action of the data mining assisted teaching system, the response speed of the teacher host and the student host has been effectively improved, which can better solve the problem of obvious accumulation of human resource management course data, and meet the actual application needs.
