Name
Title | ||
|---|---|---|
Under-sampling class imbalanced datasets by combining clustering analysis and instance selection. |
Abstract | ||
|---|---|---|
•A novel approach for under-sampling class imbalanced datasets is proposed.•It is based on combining clustering analysis and instance selection.•Instance selection is used for the clustering result of the majority class dataset.•The proposed approach outperforms five baseline approaches over 44 datasets. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ins.2018.10.029 | Information Sciences |
Keywords | Field | DocType |
Data mining,Class imbalance,Clustering,Ensemble classifiers,Instance selection | Oversampling,Affinity propagation,Undersampling,Instance selection,Sampling (statistics),Artificial intelligence,Cluster analysis,Statistical classification,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
477 | 0020-0255 | 11 |
PageRank | References | Authors |
0.77 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-fong Tsai | 1 | 1255 | 54.93 |
| Wei-Chao Lin | 2 | 65 | 5.90 |
| Ya-Han Hu | 3 | 323 | 24.17 |
| Guan-Ting Yao | 4 | 11 | 0.77 |