Prediction of cancer using customised fuzzy rough machine learning approaches

This Letter proposes a customised approach for attribute selection applied to the fuzzy rough quick reduct algorithm. The unbalanced data is balanced using synthetic minority oversampling technique. The huge dimensionality of the cancer data is reduced using a correlation-based filter. The dimension...

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Detalles Bibliográficos
Autores principales: Arunkumar, Chinnaswamy, Ramakrishnan, Srinivasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407447/
https://www.ncbi.nlm.nih.gov/pubmed/30881694
http://dx.doi.org/10.1049/htl.2018.5055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407447/
https://www.ncbi.nlm.nih.gov/pubmed/30881694
http://dx.doi.org/10.1049/htl.2018.5055

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