The Content Classification via Bayesian Model in Meteorological Teaching

DOI

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.

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/).

Download article (PDF)

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  - Proceedings of the 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  - 10.2991/seiem-16.2016.3
ID  - Xu2016/12
ER  -