Application of Large Data Analysis in Ceramic Art Students
Authors
Hong Ye, Xudong Wu
Corresponding Author
Hong Ye
Available Online March 2017.
- DOI
- 10.2991/emcs-17.2017.411How to use a DOI?
- Keywords
- Association rules; Clustering analysis; Decision tree
- Abstract
Based on the link between the university library management system and the educational administration management system, this paper established three kinds of analysis models including cluster analysis, association rule and decision tree, to study the correlation between the information of books borrowing and achievements by ceramic art students. The experimental results show that the student's book borrowing situation has a positive correlation with student achievement.
- Copyright
- © 2017, 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 - Hong Ye AU - Xudong Wu PY - 2017/03 DA - 2017/03 TI - Application of Large Data Analysis in Ceramic Art Students BT - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017) PB - Atlantis Press SP - 2185 EP - 2190 SN - 2352-538X UR - https://doi.org/10.2991/emcs-17.2017.411 DO - 10.2991/emcs-17.2017.411 ID - Ye2017/03 ER -