Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019)

Application of Data Mining in the Field of Human Resource Management: A Review

Authors
Xin Ma, Ying Zhang, Yanjie Song, Erbao Wang, Feng Yao, Zhongshan Zhang
Corresponding Author
Zhongshan Zhang
Available Online August 2019.
DOI
10.2991/edmi-19.2019.35How to use a DOI?
Keywords
Data Mining; Human Resource Management; Review.
Abstract

Data mining methods play an important role in customer management, manufacturing management, and financial management. This paper focuses on the latest research progress from 2012 to the present. The analysis of the progress of existing research will help researchers to better engage in research work in the future. The literature review is classified according to the research field and the data mining methods involved. In each of the research areas, we conduct research classification based on the data mining tools used. Through literature analysis, it can be seen that the degree of attention of neural networks has increased continuously in recent years.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
August 2019
ISBN
978-94-6252-771-3
ISSN
2352-5428
DOI
10.2991/edmi-19.2019.35How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xin Ma
AU  - Ying Zhang
AU  - Yanjie Song
AU  - Erbao Wang
AU  - Feng Yao
AU  - Zhongshan Zhang
PY  - 2019/08
DA  - 2019/08
TI  - Application of Data Mining in the Field of Human Resource Management: A Review
BT  - Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019)
PB  - Atlantis Press
SP  - 222
EP  - 227
SN  - 2352-5428
UR  - https://doi.org/10.2991/edmi-19.2019.35
DO  - 10.2991/edmi-19.2019.35
ID  - Ma2019/08
ER  -