Analysis and design of scalable pre-processing techniques of instances for imbalanced Big Data problems. Applications in humanitarian emergencies situations.
This thesis addresses the distributed and scalable pre-processing of Big Data sets, in order to obtain good quality data, known as Smart Data. Particularly, it focuses on classification problems, and on addressing the following characteristics: (a) imbalanced data; (b) redundancy; (c) high dimension...
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2022-10-01
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| Series: | Journal of Computer Science and Technology |
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| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/2277 |