Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data
This paper proposes a novel undersampling method, for dealing with imbalanced datasets. The proposal is based on a novel instance importance measure (also introduced in this paper), and is able to balance hybrid and incomplete data. The numerical experiments carried out show the proposed undersampli...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Graz University of Technology
2020-06-01
|
| Series: | Journal of Universal Computer Science |
| Subjects: | |
| Online Access: | https://lib.jucs.org/article/24081/download/pdf/ |