Improving clustering-based and adaptive position-aware interpolation oversampling for imbalanced data classification
Class imbalance is one of the most significant difficulties in modern machine learning. This is because of the inherent bias of standard classifiers toward favoring majority instances while often ignoring minority instances. Interpolation-based oversampling techniques are among the most popular solu...
| Published in: | JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
SPRINGERNATURE
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001410486900001 |