CCR: A combined cleaning and resampling algorithm for imbalanced data classification
Imbalanced data classification is one of the most widespread challenges in contemporary pattern recognition. Varying levels of imbalance may be observed in most real datasets, affecting the performance of classification algorithms. Particularly, high levels of imbalance make serious difficulties, of...
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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Sciendo
2017-12-01
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| Serie: | International Journal of Applied Mathematics and Computer Science |
| Ämnen: | |
| Länkar: | https://doi.org/10.1515/amcs-2017-0050 |
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