SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data
The volume of data in today's applications has meant a change in the way Machine Learning issues are addressed. Indeed, the Big Data scenario involves scalability constraints that can only be achieved through intelligent model design and the use of distributed technologies. In this context, sol...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2018-12-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | http://journal.info.unlp.edu.ar/JCST/article/view/1122 |