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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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| Publicat a: | ScientificWorldJournal |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi Publishing Corporation
2015
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| Matèries: | |
| Accés en línia: | 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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