Proceedings of the 2018 4th International Conference on Social Science and Higher Education (ICSSHE 2018)

The Study on the Comprehensive Assessment Management for the Mid-Term Screening of Postgraduate Students

Authors
Weiwei Li, Weiyang Chen
Corresponding Author
Weiwei Li
Available Online September 2018.
DOI
https://doi.org/10.2991/icsshe-18.2018.5How to use a DOI?
Keywords
Education management of graduate students, Mid-term screening, Rough set theory, Attribute reduction algorithm
Abstract
Education management of graduate students is very important in education. It is an important task to cultivate students with high quality, strong scientific research ability, strong practical ability and suitable for social development needs. Mid-term screening is a very important part of graduate training. By putting a computer in the field of rough set theory is introduced into the analysis of mid-term screening in the process of comprehensive evaluation index, through attribute reduction algorithm to analyze many indicators, indicates that the key factors affecting mid-term screening of comprehensive assessment. In view of these key factors, the corresponding measures are formulated to effectively guide the graduate training process, thus cultivating excellent talents for the country.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 4th International Conference on Social Science and Higher Education (ICSSHE 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2018
ISBN
978-94-6252-687-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/icsshe-18.2018.5How 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  - Weiwei Li
AU  - Weiyang Chen
PY  - 2018/09
DA  - 2018/09
TI  - The Study on the Comprehensive Assessment Management for the Mid-Term Screening of Postgraduate Students
BT  - 2018 4th International Conference on Social Science and Higher Education (ICSSHE 2018)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsshe-18.2018.5
DO  - https://doi.org/10.2991/icsshe-18.2018.5
ID  - Li2018/09
ER  -