Analysis of Undergraduates' Network Status Based on Data Mining
- 10.2991/ameii-16.2016.113How to use a DOI?
- Data mining, undergraduates, network status.
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.
- © 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/).
Cite this article
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 -