Instance retrieval from non-labeled data as a strategy for automatic classifcation of imbalanced e-mail datasets
One of the main challenges in automatic email classification problems occurs when it is necessary to work with a relatively large number of classes and the classes are highly imbalanced. That happens even when non-labeled textual bases are available because manual labeling is costly. In this respect...
Guardado en:
Autores principales: | Fernández, Juan Manuel, Errecalde, Marcelo Luis |
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/149456 |
Aporte de: |
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