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A Classification Method Based on Non-linear SVM Decision Tree

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3 Author(s)
Hui Zhao ; Xidian University, Xi'an 710071,China ; Yong Yao ; Zhijing Liu

The induction of classification of decision tree is an important algorithm for data mining now. The support vector machine technology and the decision tree have combined into one multi-class classifier so as to solve multi-class classification problems. In this paper, SVM is extended to non-linear SVM by using kernel functions and a new method of NSVM decision tree is proposed based on traditional SVM decision tree. Classification experiments prove the method is effective.

Published in:

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on  (Volume:4 )

Date of Conference:

24-27 Aug. 2007