Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/50685
Título: A novel hybrid feature selection algorithm for hierarchical classification
Palavras-chave: Feature selection
Hierarchical single-label classification
Variable neighborhood search
Wrapper
Seleção de recursos
Classificação hierárquica de rótulo único
Pesquisa variável de vizinhança
Editor: IEEE Xplore
Citação: LIMA, H. C. S. C. et al. A novel hybrid feature selection algorithm for hierarchical classification. IEEE Access, [S. l.], v. 9, p. 127278-127292, 202. DOI: 10.1109/ACCESS.2021.3112396.
Resumo: Feature selection is a widespread preprocessing step in the data mining field. One of its purposes is to reduce the number of original dataset features to improve a predictive model’s performance. Despite the benefits of feature selection for the classification task, to the best of our knowledge, few studies in the literature address feature selection for the hierarchical classification context. This paper proposes a novel feature selection method based on the general variable neighborhood search metaheuristic, combining a filter and a wrapper step, wherein a global model hierarchical classifier evaluates feature subsets. We used twelve datasets from the proteins and images domains to perform computational experiments to validate the effect of the proposed algorithm on classification performance when using two global hierarchical classifiers proposed in the literature. Statistical tests showed that using our method for feature selection led to predictive performances that were consistently better than or equivalent to that obtained by using all features with the benefit of reducing the number of features needed, which justifies its efficiency for the hierarchical classification scenario.
URI: http://repositorio.ufla.br/jspui/handle/1/50685
Aparece nas coleções:DCC - Artigos publicados em periódicos

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
ARTIGO_A novel hybrid feature selection algorithm for hierarchical classification.pdf4,38 MBAdobe PDFVisualizar/Abrir


Este item está licenciada sob uma Licença Creative Commons Creative Commons

Ferramentas do administrador