Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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Design of Enterprise Employee Training Platform Based on C4.5 Decision Tree

Authors
Xiaofeng Liu1, *
1School of Qingdao Ocean Shipping Crew Vocational College, Shandong, 266404, Qingdao, China
*Corresponding author. Email: yanernanfei1@163.com
Corresponding Author
Xiaofeng Liu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_60How to use a DOI?
Keywords
Artificial Intelligence; Enterprise Employees; Training Management; C4.5 Decision Tree; Database
Abstract

In view of the low efficiency of current employee training in enterprises, combined with artificial intelligence technology, a corporate employee training management system based on the improved C4.5 decision tree is designed. Firstly, based on the C4.5 decision tree algorithm, data preprocessing, empty branch shearing, cross-entropy, and other operations are carried out, and the C4.5 decision tree algorithm is improved. Then J2EE development tool is used to build an enterprise employee training management system, and the system is divided into resources and requirements, planning, activity management and statistical analysis and management of five modules. In addition, the improved C4.5 decision tree is applied to the system for specific design and implementation of each module. Finally, a database is designed to provide data reference for system training management. The results show that the improved algorithm can improve the training management efficiency of the system. The system can replace the traditional manual training management mechanism, reduce the workload of employees, and improve work efficiency, which has certain practical significance.

Copyright
© 2023 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 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-058-9_60
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_60How to use a DOI?
Copyright
© 2023 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  - Xiaofeng Liu
PY  - 2022
DA  - 2022/12/27
TI  - Design of Enterprise Employee Training Platform Based on C4.5 Decision Tree
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 361
EP  - 365
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_60
DO  - 10.2991/978-94-6463-058-9_60
ID  - Liu2022
ER  -