Objective Measures Ensemble in Associative Classifiers

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorDall'Agnol, Maicon [UNESP]-
Autor(es): dc.creatorCarvalho, Veronica Oliveira de [UNESP]-
Autor(es): dc.creatorFilipe, J.-
Autor(es): dc.creatorSmialek, M.-
Autor(es): dc.creatorBrodsky, A.-
Autor(es): dc.creatorHammoudi, S.-
Data de aceite: dc.date.accessioned2022-02-22T01:05:44Z-
Data de disponibilização: dc.date.available2022-02-22T01:05:44Z-
Data de envio: dc.date.issued2021-06-26-
Data de envio: dc.date.issued2021-06-26-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5220/0009321600830090-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/210700-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/210700-
Descrição: dc.descriptionAssociative classifiers (ACs) are predictive models built based on association rules (ARs). Model construction occurs in steps, one of them aimed at sorting and pruning a set of rules. Regarding ordering, usually objective measures (OMs) are used to rank the rules. The aim of this work is exactly sorting. In the proposals found in the literature, the OMs are generally explored separately. The only work that explores the aggregation of measures in the context of ACs is (Silva and Carvalho, 2018), where multiple OMs are considered at the same time. To do so, (Silva and Carvalho, 2018) use the aggregation solution proposed by (Bouker et al., 2014). However, although there are many works in the context of ARs that investigate the aggregate use of OMs, all of them have some bias. Thus, this work aims to evaluate the aggregation of measures in the context of ACs considering another perspective, that of an ensemble of classifiers.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Inst Geociencias & Ciencias Exatas, Rio Claro, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Inst Geociencias & Ciencias Exatas, Rio Claro, Brazil-
Descrição: dc.descriptionFAPESP: 2019/04923-2-
Formato: dc.format83-90-
Idioma: dc.languageen-
Publicador: dc.publisherScitepress-
Relação: dc.relationProceedings Of The 22nd International Conference On Enterprise Information Systems (iceis), Vol 1-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectAssociative Classifier-
Palavras-chave: dc.subjectInterestingness Measures-
Palavras-chave: dc.subjectRanking-
Palavras-chave: dc.subjectClassification-
Palavras-chave: dc.subjectAssociation Rules-
Título: dc.titleObjective Measures Ensemble in Associative Classifiers-
Aparece nas coleções:Repositório Institucional - Unesp

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