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Active Fuzzy Weighting Ensemble for Dealing with Concept Drift

The concept drift problem is a pervasive phenomenon in real-world data stream applications. It makes well-trained static learning models lose accuracy and become outdated as time goes by. The existence of different types of concept drift makes it more difficult for learning algorithms to track. This...

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Autors principals: Fan Dong, Jie Lu, Guangquan Zhang, Kan Li
Format: Artigo
Idioma:Inglês
Publicat: Springer 2018-01-01
Col·lecció:International Journal of Computational Intelligence Systems
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Accés en línia:https://www.atlantis-press.com/article/25888775/view
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