Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Research on Faculty Manpower Management of vocational undergraduate based on Decision tree algorithm

Authors
YanYan Li1, *
1Wuxi vocational institute of commerce, Wuxi, China
*Corresponding author. Email: 195432646@qq.com
Corresponding Author
YanYan Li
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_5How to use a DOI?
Keywords
Decision tree algorithm; career undergraduate; pruning algorithm
Abstract

The purpose of this paper is to study the problem of vocational undergraduate teacher manpower management, with the decision tree algorithm as the main analysis tool, to explore how to carry on the scientific and effective management of vocational undergraduate teacher talents. The method of questionnaire survey was used to collect and analyze data from many aspects, including teachers’ personal background, teaching ability and scientific research level. Through the analysis and mining of these data, this paper puts forward a professional undergraduate teacher manpower management scheme based on decision tree algorithm, in order to provide a reference for enterprises. The results show that the decision tree algorithm can accurately predict the performance and development trend of professional undergraduate faculty talents, and can help enterprises to develop scientific and reasonable human resource management plans. The research results of this paper have certain reference value and guiding significance for the practice of vocational undergraduate faculty manpower management.

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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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
978-94-6463-264-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_5How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - YanYan Li
PY  - 2023
DA  - 2023/09/28
TI  - Research on Faculty Manpower Management of vocational undergraduate based on Decision tree algorithm
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 31
EP  - 38
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_5
DO  - 10.2991/978-94-6463-264-4_5
ID  - Li2023
ER  -