An Elastic Self-Adjusting Technique for Rare-Class Synthetic Oversampling Based on Cluster Distortion Minimization in Data Stream

Adaptive machine learning has increasing importance due to its ability to classify a data stream and handle the changes in the data distribution. Various resources, such as wearable sensors and medical devices, can generate a data stream with an imbalanced distribution of classes. Many popular overs...

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Detalles Bibliográficos
Autores principales: Fatlawi, Hayder K., Kiss, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963940/
https://www.ncbi.nlm.nih.gov/pubmed/36850659
http://dx.doi.org/10.3390/s23042061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963940/
https://www.ncbi.nlm.nih.gov/pubmed/36850659
http://dx.doi.org/10.3390/s23042061

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