Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

The Application Based on Decision Tree SVM for Multi-class Classification

Authors
Huifang Hou, Ping Han, Dan Cao
Corresponding Author
Huifang Hou
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.312How to use a DOI?
Keywords
Support vector machines (SVM); decision tree; classification; multi-class.
Abstract
Wastewater treatment process is a multi-class classification problem. While the traditional Support Vector Machines only deal with the binary classification. The traditional SVM has difficulty in solving the multi-class problems like wastewater treatment process. This paper presents a method by introducing the idea of decision binary tree to support vector machine for solving the assessment problem of wastewater water quality. This method distributes classifier to each nodes of decision binary tree. Simulated experiments show the method is effective.
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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.312How 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  - Huifang Hou
AU  - Ping Han
AU  - Dan Cao
PY  - 2015/06
DA  - 2015/06
TI  - The Application Based on Decision Tree SVM for Multi-class Classification
BT  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.312
DO  - https://doi.org/10.2991/icecee-15.2015.312
ID  - Hou2015/06
ER  -