Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift

The treatment of large data streams in the presence of concept drifts is one of the main challenges in the field of data mining, particularly when the algorithms have to deal with concepts that disappear and then reappear. This paper presents a new algorithm, called Fast Adapting Ensemble (FAE), whi...

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Detalles Bibliográficos
Autores principales: Ortíz Díaz, Agustín, del Campo-Ávila, José, Ramos-Jiménez, Gonzalo, Frías Blanco, Isvani, Caballero Mota, Yailé, Mustelier Hechavarría, Antonio, Morales-Bueno, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386643/
https://www.ncbi.nlm.nih.gov/pubmed/25879051
http://dx.doi.org/10.1155/2015/235810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386643/
https://www.ncbi.nlm.nih.gov/pubmed/25879051
http://dx.doi.org/10.1155/2015/235810

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