Boosting cost-sensitive trees

被引：0
|
作者：
Ting, KM [1 ]
Zheng, ZJ [1 ]
机构：
[1] Deakin Univ, Sch Comp & Math, Geelong, Vic 3168, Australia
来源：
DISCOVERY SCIENCE | 1998年 / 1532卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper explores two techniques for boosting cost-sensitive trees. The two techniques differ in whether the misclassification cost information is utilized during training. We demonstrate that each of these techniques is good at different aspects of cost-sensitive classifications. We also show that both techniques provide a means to overcome the weaknesses of their base cost-sensitive tree induction algorithm.
引用
收藏
页码：244 / 255
页数：12
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