Proceedings of the 3rd International Conference on Computer Science and Service System

Research of Network Teaching Platform based on the Technology of Data Mining

Authors
Fan Hongjun, Kang Dong
Corresponding Author
Fan Hongjun
Available Online June 2014.
DOI
https://doi.org/10.2991/csss-14.2014.78How to use a DOI?
Keywords
network; teaching; intelligentialize; data mining
Abstract

Basing on the basis of the traditional network teaching platform, this paper has made the intelligent optimization for network teaching platform through the data mining technology. Based on the data analysis, data warehouse has been set up among the database. This new network teaching platform can find the inner link between data resources of the computer system in the data warehouse by the way of applying the correlation analysis, the clustering analysis, the TF – IDF methods, and so on. The new network teaching platform can track user operations intelligently among the system resources, and provide a more humanized service for teaching activities.

Copyright
© 2014, 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 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
10.2991/csss-14.2014.78
ISSN
1951-6851
DOI
https://doi.org/10.2991/csss-14.2014.78How to use a DOI?
Copyright
© 2014, 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  - Fan Hongjun
AU  - Kang Dong
PY  - 2014/06
DA  - 2014/06
TI  - Research of Network Teaching Platform based on the Technology of Data Mining
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 331
EP  - 334
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.78
DO  - https://doi.org/10.2991/csss-14.2014.78
ID  - Hongjun2014/06
ER  -