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
- 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.
- 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/).
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 - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics PB - Atlantis Press SP - 1656 EP - 1660 SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.312 DO - 10.2991/icecee-15.2015.312 ID - Hou2015/06 ER -