Name
Title | ||
|---|---|---|
NI-MWMOTE: An improving noise-immunity majority weighted minority oversampling technique for imbalanced classification problems |
Abstract | ||
|---|---|---|
•New noise-immunity oversampling method for imbalanced classification problems.•It adaptively processes noise based on probability and misclassification error.•It simplifies the minority class clustering process using unsupervised clustering.•It adaptively determines the sub-cluster size being sampled using misclassification error.•Generated synthetic instances using MWMOTE improved subsequent classification. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2020.113504 | Expert Systems with Applications |
Keywords | DocType | Volume |
Imbalanced classification,Noise-immunity,MWMOTE,Clustering,Oversampling | Journal | 158 |
ISSN | Citations | PageRank |
0957-4174 | 1 | 0.37 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianan Wei | 1 | 2 | 1.74 |
| Haisong Huang | 2 | 7 | 4.50 |
| Liguo Yao | 3 | 3 | 1.42 |
| Yao Hu | 4 | 43 | 17.26 |
| Qingsong Fan | 5 | 6 | 2.13 |
| Dong Huang | 6 | 5 | 2.11 |