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Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms

In the era of a large number of tools and applications that constantly produce massive amounts of data, their processing and proper classification is becoming both increasingly hard and important. This task is hindered by changing the distribution of data over time, called the concept drift, and the...

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Detalles Bibliográficos
Autores principales: Wegier, Weronika, Ksieniewicz, Pawel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517449/
https://www.ncbi.nlm.nih.gov/pubmed/33286620
http://dx.doi.org/10.3390/e22080849