DocumentCode :
3807108
Title :
Cline: A New Decision-Tree Family
Author :
M. Fatih Amasyali;Okan Ersoy
Author_Institution :
Yildiz Techn. Univ., Istanbul
Volume :
19
Issue :
2
fYear :
2008
Firstpage :
356
Lastpage :
363
Abstract :
A new family of algorithm called Cline that provides a number of methods to construct and use multivariate decision trees is presented. We report experimental results for two types of data: synthetic data to visualize the behavior of the algorithms and publicly available eight data sets. The new methods have been tested against 23 other decision-tree construction algorithms based on benchmark data sets. Empirical results indicate that our approach achieves better classification accuracy compared to other algorithms.
Keywords :
"Decision trees","Machine learning algorithms","Machine learning","Pattern recognition","Data visualization","Benchmark testing","Artificial intelligence","Pattern classification","Encoding","Computational intelligence"
Journal_Title :
IEEE Transactions on Neural Networks
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2007.910729
Filename :
4436178
Link To Document :
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