Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)

Research on the Design of Enterprise Salary System based on Data Mining Technology

Authors
Xiaoyue Guan, Bo Yang
Corresponding Author
Xiaoyue Guan
Available Online June 2017.
DOI
10.2991/icesame-17.2017.232How to use a DOI?
Keywords
Data Mining, Salary System, Enterprise Management
Abstract

At present, it is difficult to deal with a large amount of data, and it is more difficult to find the intrinsic factors influencing the salary design from these large numbers of data. So, modern enterprise pay design process to face a large number of complex information and data, and data mining technology in dealing with large amounts of data has a unique advantage. In this paper, the data analysis process in salary design is the main line, and how to analyze and deal with the data mining techniques such as classification, clustering and association rules and It provides strong decision support for pay design.

Copyright
© 2017, 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 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2017
ISBN
10.2991/icesame-17.2017.232
ISSN
2352-5398
DOI
10.2991/icesame-17.2017.232How to use a DOI?
Copyright
© 2017, 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  - Xiaoyue Guan
AU  - Bo Yang
PY  - 2017/06
DA  - 2017/06
TI  - Research on the Design of Enterprise Salary System based on Data Mining Technology
BT  - Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)
PB  - Atlantis Press
SP  - 1065
EP  - 1068
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-17.2017.232
DO  - 10.2991/icesame-17.2017.232
ID  - Guan2017/06
ER  -