Proceedings of the 4th International Symposium on Social Science (ISSS 2018)

Improvement of IT Industry Training Management System Based on Big Data Background

Authors
Hui Wang, Meina Chen
Corresponding Author
Hui Wang
Available Online May 2018.
DOI
https://doi.org/10.2991/isss-18.2018.28How to use a DOI?
Keywords
B/S; training management system; software engineering.
Abstract

In order to improve the management level and efficiency, and effectively reduce the labour intensity of managers, user’s functional requirements for the training management system were analysed at the beginning and then the development method of the entire system was determined. The system architecture based on Web technology and B/S was used in order to complete the design and implementation of LAN government office automation system. The research results showed that the system could solve the information processing requirements in daily work. In a word, the system can be fully applied to the municipal office management, and effectively improve the management efficiency, reduce the labour intensity of managers, and achieve modern human management.

Copyright
© 2018, 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 4th International Symposium on Social Science (ISSS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2018
ISBN
978-94-6252-515-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/isss-18.2018.28How to use a DOI?
Copyright
© 2018, 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  - Hui Wang
AU  - Meina Chen
PY  - 2018/05
DA  - 2018/05
TI  - Improvement of IT Industry Training Management System Based on Big Data Background
BT  - Proceedings of the 4th International Symposium on Social Science (ISSS 2018)
PB  - Atlantis Press
SP  - 140
EP  - 145
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-18.2018.28
DO  - https://doi.org/10.2991/isss-18.2018.28
ID  - Wang2018/05
ER  -