Cline: A new decision-tree family

被引：23
|
作者：
Amasyali, M. Fatih [1 ]
Ersoy, Okan [2 ]
机构：
[1] Yildiz Tech Univ, Dept Comp Engn, TR-34349 Istanbul, Turkey
[2] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 2008年 / 19卷 / 02期
关键词：
classifier combination; decision forests; decision trees; learning (artificial intelligence); machine learning; multivariate decision trees; pattern classification; pattern recognition;
D O I：
10.1109/TNN.2007.910729
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：356 / 363
页数：8
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