Proceedings of the 2016 3rd International Conference on Management, Education Technology and Sports Science (METSS 2016)

Research of College English Test Knowledge Points Association Analysis and Implementation of Table of Association Rules

Authors
Tao Wu, Dongyang Liu, Hui Zhang, Min Wu
Corresponding Author
Tao Wu
Available Online November 2016.
DOI
https://doi.org/10.2991/metss-16.2016.62How to use a DOI?
Keywords
knowledge points association analysis, data mining.
Abstract

In order to better predict the potential weaknesses of user knowledge points, this paper firstly carried on knowledge points association analysis by a large amount of data collected in the practical application. Secondly, we did the data mining process including data collection, data preprocessing, the actual mining, result analysis and so on, and we built the table of the knowledge points association rules which had a large increase in many aspects. Finally, we gave an algorithm to find potential weak knowledge points.

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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Volume Title
Proceedings of the 2016 3rd International Conference on Management, Education Technology and Sports Science (METSS 2016)
Series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
978-94-6252-248-0
ISSN
2352-5428
DOI
https://doi.org/10.2991/metss-16.2016.62How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Tao Wu
AU  - Dongyang Liu
AU  - Hui Zhang
AU  - Min Wu
PY  - 2016/11
DA  - 2016/11
TI  - Research of College English Test Knowledge Points Association Analysis and Implementation of Table of Association Rules
BT  - Proceedings of the 2016 3rd International Conference on Management, Education Technology and Sports Science (METSS 2016)
PB  - Atlantis Press
SP  - 308
EP  - 312
SN  - 2352-5428
UR  - https://doi.org/10.2991/metss-16.2016.62
DO  - https://doi.org/10.2991/metss-16.2016.62
ID  - Wu2016/11
ER  -