Download 邓少军-论文进展报告-20150807

厦门大学数据库实验室
论文阅读汇报
报告人：邓少军
指导老师：林子雨
时间：2015年8月7日
目
Contents
录
01
Learning Imbalanced Multi-class Data
with Optimal Dichotomy Weights
02
Cost-sensitive decision tree ensembles
for effective imbalanced classification
第
1
章
Learning Imbalanced Multi-class Data with Optimal
Dichotomy Weights
论文
参考文献
2013 IEEE 13th International Conference on Data
Mining
Xu-Ying Liu, Qian-Qian Li and Zhi-Hua Zhou，
1
Key Laboratory of Computer Network and Information
Integration, MOE, Southeast University, China
主要内容
National Key Laboratory for Novel Software
In this paper， we propose the imECOC method
which works on dichotomies to handle both the
betweenclass imbalance and within-class
imbalance.
Technology, Nanjing University, China
2
第
2
章
Cost-sensitive decision tree ensembles for effective
imbalanced classification
论文
参考文献
Applied Soft Computing 14（2014）
Bartosz Krawczyk , Michał Wozniak , Gerald Schaefer
Department of Systems and Computer Networks,
1
Wroclaw University of Technology, Poland
主要内容
Department of Computer Science, Loughborough
In this paper, we introduce an effective ensemble of
University, Loughborough, UK
2
costsensitive decision trees for imbalanced
classification. We employ an evolutionary algorithm
for simultaneous classifier selection and assignment
of committee member weights for the fusion process.
Thank you !