Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Analysis of Graduation Thesis Information Based on Decision Tree

Authors
Mengyi Li, Jiuru Dai, Zhigang Zhang
Corresponding Author
Mengyi Li
Available Online December 2015.
DOI
10.2991/nceece-15.2016.1How to use a DOI?
Keywords
graduation thesis achievements; multivariate statistical analysis; decision tree.
Abstract

In order to improve the quality of graduation thesis, many colleges and universities carried out reforms on the thesis work according to their own actual situation. Through data mining method, this paper explores the main factors affecting the result of graduation thesis, and then classifies and predicts the achievements of graduation thesis, so as to give reasonable proposal and more scientific reform.

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 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/nceece-15.2016.1
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.1How 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  - Mengyi Li
AU  - Jiuru Dai
AU  - Zhigang Zhang
PY  - 2015/12
DA  - 2015/12
TI  - Analysis of Graduation Thesis Information Based on Decision Tree
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1
EP  - 6
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.1
DO  - 10.2991/nceece-15.2016.1
ID  - Li2015/12
ER  -