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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:ScientificWorldJournal
Egile Nagusiak: Ortíz Díaz, Agustín, del Campo-Ávila, José, Ramos-Jiménez, Gonzalo, Frías Blanco, Isvani, Caballero Mota, Yailé, Mustelier Hechavarría, Antonio, Morales-Bueno, Rafael
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Hindawi Publishing Corporation 2015
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4386643/
https://ncbi.nlm.nih.gov/pubmed/25879051
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/235810
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