Weighting Methods for Rare Event Identification From Imbalanced Datasets
In machine learning, we often face the situation where the event we are interested in has very few data points buried in a massive amount of data. This is typical in network monitoring, where data are streamed from sensing or measuring units continuously but most data are not for events. With imbala...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2021-12-01
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| Серія: | Frontiers in Big Data |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fdata.2021.715320/full |
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