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

页码：356 / 363

页数：8

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