Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Procedure-oriented University Digital Admissions System under Big Data Environment

Authors
Yun Liu
Corresponding Author
Yun Liu
Available Online December 2015.
DOI
10.2991/nceece-15.2016.219How to use a DOI?
Keywords
Digital admission; Data analysis; Information graph
Abstract

In order to solve the current college admission work problems like workload focus, department coordination problems, and low artificial statistical efficiency, on the basis of college admissions requirements analysis, this paper proposes the use of big data to collect admission work data in each link through information system, and real-time generate statistical analysis of information, which will provide a scientific basis for decision makers. The paper analyzes the overall demand of the system, builds system function structure, and uses .net development platform to realize the system. The system running results show that admission propaganda is in place with accurate real-time data statistics, which effectively reduces manual workload and has very strong practicability.

Copyright
© 2016, 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 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/nceece-15.2016.219
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.219How to use a DOI?
Copyright
© 2016, 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  - Yun Liu
PY  - 2015/12
DA  - 2015/12
TI  - Procedure-oriented University Digital Admissions System under Big Data Environment
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1240
EP  - 1247
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.219
DO  - 10.2991/nceece-15.2016.219
ID  - Liu2015/12
ER  -