Analysis of Undergraduates' Network Status Based on Data Mining

DOI

10.2991/ameii-16.2016.113How to use a DOI?

Keywords

Data mining, undergraduates, network status.

Abstract

The construction of digital campus gives undergraduates a more convenient way to access the Internet and there have been stored massive network data. In this paper, use clustering algorithm and log file analysis to analyze these data to understand undergraduates' network status and the relationship between network status and academic performance. The result could be helpful to provide reference for network administrator and counselor, and give a new way out for analyze undergraduates' network usage.

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/).

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TY  - CONF
AU  - Yuan Qian
AU  - Quan Shi
PY  - 2016/04
DA  - 2016/04
TI  - Analysis of Undergraduates' Network Status Based on Data Mining
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 567
EP  - 570
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.113
DO  - 10.2991/ameii-16.2016.113
ID  - Qian2016/04
ER  -