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

Prediction of Data Classification Based on Support Vector Machine

Authors
Xinghui Wu, Yuping Zhou
Corresponding Author
Xinghui Wu
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.138How to use a DOI?
Keywords
Data Mining, Data Classification, Support Vector Machine
Abstract

Support vector machine is an emerging technique in data mining. By analyzing principle and classification algorithm of support vector machine, a prediction model based on support vector machines was given, and the effectiveness of support vector machines in classification prediction was demonstrated with the test results.

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 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
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-16.2016.138How 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  - Xinghui Wu
AU  - Yuping Zhou
PY  - 2016/12
DA  - 2016/12
TI  - Prediction of Data Classification Based on Support Vector Machine
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 694
EP  - 699
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.138
DO  - https://doi.org/10.2991/iceeecs-16.2016.138
ID  - Wu2016/12
ER  -