Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/12288
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Marques, A. | - |
dc.contributor.author | Ferreira, A. S. | - |
dc.contributor.author | Cardoso, M. G. M. S. | - |
dc.date.accessioned | 2016-12-16T14:08:10Z | - |
dc.date.available | 2016-12-16T14:08:10Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1755-8050 | - |
dc.identifier.uri | http://hdl.handle.net/10071/12288 | - |
dc.description.abstract | When conducting discrete discriminant analysis, alternative models provide different levels of predictive accuracy which has encouraged the research in combined models. This research seems to be specially promising when small or moderate sized samples are considered, which often occurs in practice. In this work we evaluate the performance of a linear combination of two discrete discriminant analysis models: the first-order independence model and the dependence trees model. The proposed methodology also uses a hierarchical coupling model when addressing multi-class classification problems, decomposing the multi-class problems into several bi-class problems, using a binary tree structure. The analysis is based both on simulated and real datasets. Results of the proposed approach are compared with those obtained by random forests, being generally more accurate. Measures of precision regarding a training set, a test set and cross-validation are presented. The R software is used for the algorithms' implementation. | eng |
dc.language.iso | eng | - |
dc.publisher | Inderscience | - |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147442/PT | - |
dc.rights | openAccess | por |
dc.subject | Combining models | eng |
dc.subject | DDA | eng |
dc.subject | Dependence trees model | eng |
dc.subject | Discrete discriminant analysis | eng |
dc.subject | DTM | eng |
dc.subject | First-order independence model | eng |
dc.subject | FOIM | eng |
dc.subject | Hierarchical coupling model | eng |
dc.subject | HIERM | eng |
dc.subject | Random forest | eng |
dc.subject | RF | eng |
dc.title | Combining models in discrete discriminant analysis | eng |
dc.type | article | - |
dc.pagination | 143 - 160 | - |
dc.publicationstatus | Publicado | por |
dc.peerreviewed | yes | - |
dc.journal | International Journal of Data Analysis Techniques and Strategies | - |
dc.distribution | Internacional | por |
dc.volume | 8 | - |
dc.number | 2 | - |
degois.publication.firstPage | 143 | - |
degois.publication.lastPage | 160 | - |
degois.publication.issue | 2 | - |
degois.publication.title | Combining models in discrete discriminant analysis | eng |
dc.date.updated | 2019-04-22T12:50:11Z | - |
dc.description.version | info:eu-repo/semantics/submittedVersion | - |
dc.identifier.doi | 10.1504/IJDATS.2016.077483 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Matemáticas | por |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-29254 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-84989844343 | - |
Aparece nas coleções: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Publicação_IJDAT_2016_VersãoInicial.pdf | Pré-print | 271,87 kB | Adobe PDF | Ver/Abrir |
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