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Selective oversampling approach for strongly imbalanced data
Challenges posed by imbalanced data are encountered in many real-world applications. One of the possible approaches to improve the classifier performance on imbalanced data is oversampling. In this paper, we propose the new selective oversampling approach (SOA) that first isolates the most represent...
में बचाया:
| में प्रकाशित: | PeerJ Comput Sci |
|---|---|
| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
PeerJ Inc.
2021
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8237317/ https://ncbi.nlm.nih.gov/pubmed/34239981 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.604 |
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