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
相关论文
共 50 条
  • [21] Simple test strategies for cost-sensitive decision trees
    Sheng, SL
    Ling, CX
    Yang, Q
    MACHINE LEARNING: ECML 2005, PROCEEDINGS, 2005, 3720 : 365 - +
  • [22] Cost-sensitive decision trees applied to medical data
    Freitas, Alberto
    Costa-Pereira, Altamiro
    Brazdil, Pavel
    DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS, 2007, 4654 : 303 - +
  • [23] Inducing cost-sensitive trees via instance weighting
    Ting, KM
    PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY, 1998, 1510 : 139 - 147
  • [24] Cost-sensitive decision trees with pre-pruning
    Du, Jun
    Cai, Zhihua
    Ling, Charles X.
    ADVANCES IN ARTIFICIAL INTELLIGENCE, 2007, 4509 : 171 - +
  • [25] Cost-sensitive boosting neural networks for software defect prediction
    Zheng, Jun
    EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (06) : 4537 - 4543
  • [26] A Benefit-Cost Based Method for Cost-Sensitive Decision Trees
    Liu, Xingyi
    PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL III, 2009, : 463 - 467
  • [27] LESION DETECTION OF GASTROSCOPIC IMAGES BASED ON COST-SENSITIVE BOOSTING
    Sun, Kai
    Zhang, Shuheng
    Yao, Rui
    Yang, Wei
    Cheng, Shidan
    Zhang, Su
    2011 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2011,
  • [28] Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees
    Mac Aodha, Oisin
    Brostow, Gabriel J.
    2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2013, : 193 - 200
  • [29] Cost-Sensitive Trees for Energy-Efficient Context Recognition
    Janko, Vito
    Lustrek, Mitja
    2019 15TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2019), 2019, : 64 - 67
  • [30] An instance-weighting method to induce cost-sensitive trees
    Ting, KM
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2002, 14 (03) : 659 - 665
12345