Design of student information system based on association algorithm and data mining technology

DOI

10.2991/icmmcce-17.2017.18How to use a DOI?

Keywords

association algorithm; data mining; information system; GUI interface; confidence

Abstract

With the advent of the information age, students in the day-to-day management of information will inevitably encounter some data processing problems. When the amount of data processing is large, it is difficult to meet the needs of calculation if the manual method is adopted, Accordingly, this paper proposes a data mining algorithm based on Association and clustering, and uses it in the student information analysis system, which effectively improves the efficiency of data mining. In order to improve the ease of operation of the system, the GUI operation interface is designed by using Matlab software, and the data association analysis of student achievement can be achieved by simple button operation. Finally, the feasibility of the system is verified, and tested the feasibility of data analysis in different confidence conditions, the test results indicate that the clustering analysis using the analysis system of student performance can be achieved successfully. The data were correlated and results, is a kind of efficient student information analysis system.

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/).

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TY  - CONF
AU  - Yan Cai
AU  - Hua Chen
PY  - 2017/09
DA  - 2017/09
TI  - Design of student information system based on association algorithm and data mining technology
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 84
EP  - 88
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.18
DO  - 10.2991/icmmcce-17.2017.18
ID  - Cai2017/09
ER  -