Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

he Method to Determine Bibliographic Types Based on Decision Tree

Authors
Si Geng, Ning Li, Lin Zhao, Ying'ai Tian
Corresponding Author
Si Geng
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.150How to use a DOI?
Keywords
Bibliographic type determination, Normative checking of bibliography, Decision tree.
Abstract
The key to normative checking of bibliography is to find out bibliographic types. In order to solve the problem to check the correctness of bibliography in the absence of bibliographic types, a novel method to determine bibliographic types based on decision tree is proposed in this paper. This method extracts bibliographic items from the references and utilizes machine learning method to construct a decision tree, and then to determine the bibliographic types according to the decision rules. The performance is compared with the Naive Bayes classifier. Experimental results show that the proposed method can effectively determine the bibliographic types, which lays the foundation for the normative checking of bibliography and the effective use of bibliography.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.150How 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  - Si Geng
AU  - Ning Li
AU  - Lin Zhao
AU  - Ying'ai Tian
PY  - 2016/12
DA  - 2016/12
TI  - he Method to Determine Bibliographic Types Based on Decision Tree
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 755
EP  - 761
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.150
DO  - https://doi.org/10.2991/iceeecs-16.2016.150
ID  - Geng2016/12
ER  -