Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment

Extant sequential wrapper-based feature subset selection (FSS) algorithms are not scalable and yield poor performance when applied to big datasets. Hence, to circumvent these challenges, we propose parallel and distributed hybrid evolutionary algorithms (EAs) based wrappers under Apache Spark. We pr...

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Detalles Bibliográficos
Autores principales: Vivek, Yelleti, Ravi, Vadlamani, Krishna, P. Radha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463682/
https://www.ncbi.nlm.nih.gov/pubmed/36105649
http://dx.doi.org/10.1007/s10586-022-03725-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463682/
https://www.ncbi.nlm.nih.gov/pubmed/36105649
http://dx.doi.org/10.1007/s10586-022-03725-w

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