Data classification: Dimensionality reduction using combined and non-combined multidimensional projection techniques

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dc.contributor.authorRodrigues, Gustavo Eloi [UNESP]
dc.contributor.authorMarcilio Junior, Wilson [UNESP]
dc.contributor.authorEler, Danilo [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T15:32:15Z
dc.date.available2019-10-06T15:32:15Z
dc.date.issued2018-12-13
dc.description.abstractDimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality reduction algorithms. We also used Naïve Bayes and SMO as classifiers.en
dc.description.affiliationDepartamento de Matemática e Computacaõ Saõ Paulo State University (UNESP)
dc.description.affiliationUnespDepartamento de Matemática e Computacaõ Saõ Paulo State University (UNESP)
dc.format.extent402-407
dc.identifierhttp://dx.doi.org/10.1109/BRACIS.2018.00076
dc.identifier.citationProceedings - 2018 Brazilian Conference on Intelligent Systems, BRACIS 2018, p. 402-407.
dc.identifier.doi10.1109/BRACIS.2018.00076
dc.identifier.scopus2-s2.0-85060854731
dc.identifier.urihttp://hdl.handle.net/11449/187310
dc.language.isoeng
dc.relation.ispartofProceedings - 2018 Brazilian Conference on Intelligent Systems, BRACIS 2018
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectCombination
dc.subjectData Classification
dc.subjectMultidimensional Data Projection
dc.subjectProjection Techniques
dc.titleData classification: Dimensionality reduction using combined and non-combined multidimensional projection techniquesen
dc.typeTrabalho apresentado em evento

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