Proceedings of the 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)

Research on the Innovation Mechanism and Development Path of Students' Work Based on Big Data

Authors
Kai-Yuan LIU, Yu-Bo WANG
Corresponding Author
Kai-Yuan LIU
Available Online April 2018.
DOI
https://doi.org/10.2991/mess-18.2018.18How to use a DOI?
Keywords
Big data, Students’ Work, Data mining.
Abstract
Big data has penetrated into all fields of society and massive data covers a lot of valuable information, so the work of college students will be greatly affected by the impact of big data. The influence of big data on the structure of students work is the high rate of information dissemination and the high speed of arrival. Therefore, the development of the work of college students must be combined with the technology of data management, manage and coordinate the precision of the data, mine effective information deeply in the process of data collection by setting up the data collection platform between colleges and organizing professional data analysis team in colleges thus providing constructive and referential support for the reform of the existing management system in colleges.
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Proceedings
2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2018
ISBN
978-94-6252-526-9
ISSN
2352-5398
DOI
https://doi.org/10.2991/mess-18.2018.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kai-Yuan LIU
AU  - Yu-Bo WANG
PY  - 2018/04
DA  - 2018/04
TI  - Research on the Innovation Mechanism and Development Path of Students' Work Based on Big Data
BT  - 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
PB  - Atlantis Press
SP  - 106
EP  - 110
SN  - 2352-5398
UR  - https://doi.org/10.2991/mess-18.2018.18
DO  - https://doi.org/10.2991/mess-18.2018.18
ID  - LIU2018/04
ER  -