Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

The Correlation Analysis of Curriculum Based On Clementine

Authors
Xiaoming Du, Xinrong Tao, Zhen Yang
Corresponding Author
Xiaoming Du
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.34How to use a DOI?
Keywords
Data mining; Apriori algorithm; Course correlation.
Abstract
To further explore the correlation between courses, university culture revision of the scheme provides the basis of quantitative analysis, through the data mining method for correlation analysis of student course grades, the improved Apriori algorithm is performance data in the transaction database is out now is set to 1, did not appear to be set to 0, forming a similar Boolean or binary data, using a binary "and operation" of the to join and prune. Verified by concrete examples show that the method can save the scan time and storage space, and the cultivation scheme formulation has certain directive significance.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.34How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoming Du
AU  - Xinrong Tao
AU  - Zhen Yang
PY  - 2016/09
DA  - 2016/09
TI  - The Correlation Analysis of Curriculum Based On Clementine
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 184
EP  - 187
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.34
DO  - https://doi.org/10.2991/iccia-16.2016.34
ID  - Du2016/09
ER  -