Proceedings of the 2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016)

The Content Classification via Bayesian Model in Meteorological Teaching

Authors
Guanlei Xu, Limin Shao, Yonglu Liu, Fengwang Lang
Corresponding Author
Guanlei Xu
Available Online December 2016.
DOI
https://doi.org/10.2991/seiem-16.2016.3How to use a DOI?
Keywords
Meteorological content classification, Meteorological teaching, Bayesian classification
Abstract
In meteorological teaching, in order to improve the teaching efficiency, the content classification is of much signification. After content classification, the teachers can give the detailed and better teaching plans to the students. On the other hand, these classified content can be employed for the students selection of excellent ones. In this paper, we proposed a Baysian model based meteorological content classification. We classify the meteorological content into three classes. And through the experimental comparison with the students', our method is efficient for the meteorological content automatical classification.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2016
ISBN
978-94-6252-273-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/seiem-16.2016.3How 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  - Guanlei Xu
AU  - Limin Shao
AU  - Yonglu Liu
AU  - Fengwang Lang
PY  - 2016/12
DA  - 2016/12
TI  - The Content Classification via Bayesian Model in Meteorological Teaching
BT  - 2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016)
PB  - Atlantis Press
SP  - 11
EP  - 14
SN  - 2352-5398
UR  - https://doi.org/10.2991/seiem-16.2016.3
DO  - https://doi.org/10.2991/seiem-16.2016.3
ID  - Xu2016/12
ER  -