A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables

Owing to the high dimensionality of multilabel data, feature selection in multilabel learning will be necessary in order to reduce the redundant features and improve the performance of multilabel classification. Rough set theory, as a valid mathematical tool for data analysis, has been widely applie...

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Detalles Bibliográficos
Autores principales: Li, Hua, Li, Deyu, Zhai, Yanhui, Wang, Suge, Zhang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142157/
https://www.ncbi.nlm.nih.gov/pubmed/25170521
http://dx.doi.org/10.1155/2014/359626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142157/
https://www.ncbi.nlm.nih.gov/pubmed/25170521
http://dx.doi.org/10.1155/2014/359626

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