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Publikováno v:
Anais Estendidos do XXXVII Simpósio Brasileiro de Banco de Dados (SBBD Estendido 2022).
Concept Drift is a common problem when we are working with Machine Learning. It refers to changes in the target concept over time, which may deteriorate the model’s accuracy. A recurrent problem on concept drift is to find datasets that reflect rea
Autor:
Ana Carolina Dantas Rocha, Eduardo Victor Lima Barboza, José Leonardo Nery de Souza, Otávio Clarindo Lopes Filho, Adriano Marinheiro Pompeu, Dheiver Francisco Santos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51f99b77d9d7ef051e5d868067fb3d14
https://doi.org/10.22533/at.ed.8632026105
https://doi.org/10.22533/at.ed.8632026105