The Improved Apriori Algorithm was Applied in the System of Elective Courses in Colleges and Universities and Analysis of Carbon Emissions

DOI

10.2991/ameii-15.2015.139How to use a DOI?

Keywords

Data Mining; AprioriAlgorithm; Professional Elective System;low-carbon

Abstract

Apriori algorithm is one of classical algorithms in data mining, can mine frequent item sets what the association rules needed. A classic application is shopping analysis in the supermarket, such as "beer" and "diaper". Aiming at the system of professional elective courses in the colleges and universities, this paper proposes a modified Apriori algorithm that can analyze what the combination of each professional elective course that influenced the employment can provide basis for decision making for the college professional elective course system and provide some suggestions for the employment of students.At the same time, the association rules can also provide the analysis of carbon emissions in the environmental protection, and provide decisions to the low-carbon for China's government.

Copyright

© 2015, 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  - Wei She
AU  - Huijuan Xie
PY  - 2015/04
DA  - 2015/04
TI  - The Improved Apriori Algorithm was Applied in the System of Elective Courses in Colleges and Universities and Analysis of Carbon Emissions
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 744
EP  - 748
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.139
DO  - 10.2991/ameii-15.2015.139
ID  - She2015/04
ER  -