Design and Implementation of Enterprise Human Resource Decision System Based on Data Mining
- DOI
- 10.2991/978-94-6463-046-6_32How to use a DOI?
- Keywords
- Data Mining; Human Resource Management; Decision Support
- Abstract
Human resource management is an important part of the daily work of colleges and universities, which plays a certain role in helping the establishment of high-quality talents and the overall development of colleges and universities. Data mining is a kind of emerging information processing technology, in the use and extraction of information plays a more and more important role, in recent years, people use information technology production and data collection ability to gradually improve, tens of thousands of database should be used for business management, government office, scientific research and engineering development and other aspects, in this situation will continue to develop in the future. This paper discusses the design and implementation of enterprise human resources decision system based on data mining, expounds the current development status of data mining technology, and puts forward its own views, aiming to promote the design and implementation of enterprise human resources decision system in data mining area.
- 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
TY - CONF AU - Nanjue He PY - 2022 DA - 2022/12/17 TI - Design and Implementation of Enterprise Human Resource Decision System Based on Data Mining BT - Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) PB - Atlantis Press SP - 269 EP - 275 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-046-6_32 DO - 10.2991/978-94-6463-046-6_32 ID - He2022 ER -