Imbalanced Data Classification Method Based on Ensemble Learning

2019 ◽  
pp. 18-24 ◽  
Author(s):  
Yu Xiang ◽  
Yongping Xie
Keyword(s):  
Ensemble Learning ◽  
Imbalanced Data ◽  
Data Classification ◽  
Classification Method ◽  
Imbalanced Data Classification

Imbalanced Data Classification Based on Clustering

2013 ◽  
Vol 443 ◽  
pp. 741-745
Author(s):  
Hu Li ◽  
Peng Zou ◽  
Wei Hong Han ◽  
Rong Ze Xia
Keyword(s):  
Real World ◽  
Imbalanced Data ◽  
Data Classification ◽  
Comprehensive Analysis ◽  
Classification Method ◽  
Classification Methods ◽  
Real World Data ◽  
Minority Class ◽  
Imbalanced Data Classification ◽  
Traditional Classification

Many real world data is imbalanced, i.e. one category contains significantly more samples than other categories. Traditional classification methods take different categories equally and are often ineffective. Based on the comprehensive analysis of existing researches, we propose a new imbalanced data classification method based on clustering. The method clusters both majority class and minority class at first. Then, clustered minority class will be over-sampled by SMOTE while clustered majority class be under-sampled randomly. Through clustering, the proposed method can avoid the loss of useful information while resampling. Experiments on several UCI datasets show that the proposed method can effectively improve the classification results on imbalanced data.

A synthetic neighborhood generation based ensemble learning for the imbalanced data classification

2017 ◽  
Vol 48 (8) ◽  
pp. 2441-2457 ◽  
Author(s):  
Zhi Chen ◽  
Tao Lin ◽  
Xin Xia ◽  
Hongyan Xu ◽  
Sha Ding
Keyword(s):  
Ensemble Learning ◽  
Imbalanced Data ◽  
Data Classification ◽  
Imbalanced Data Classification

BPSO-Adaboost-KNN ensemble learning algorithm for multi-class imbalanced data classification

2016 ◽  
Vol 49 ◽  
pp. 176-193 ◽  
Author(s):  
Guo Haixiang ◽  
Li Yijing ◽  
Li Yanan ◽  
Liu Xiao ◽  
Li Jinling
Keyword(s):  
Ensemble Learning ◽  
Learning Algorithm ◽  
Imbalanced Data ◽  
Data Classification ◽  
Imbalanced Data Classification ◽  
Ensemble Learning Algorithm
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