Imbalanced data preprocessing techniques for machine learning: a systematic mapping study

Machine Learning (ML) algorithms have been increasingly replacing people in several application domains—in which the majority suffer from data imbalance. In order to solve this problem, published studies implement data preprocessing techniques, cost-sensitive and ensemble learning. These solutions r...

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Detalles Bibliográficos
Autores principales: Werner de Vargas, Vitor, Schneider Aranda, Jorge Arthur, dos Santos Costa, Ricardo, da Silva Pereira, Paulo Ricardo, Victória Barbosa, Jorge Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Survey Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645765/
https://www.ncbi.nlm.nih.gov/pubmed/36405957
http://dx.doi.org/10.1007/s10115-022-01772-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645765/
https://www.ncbi.nlm.nih.gov/pubmed/36405957
http://dx.doi.org/10.1007/s10115-022-01772-8

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