PAR-COM: A New Methodology for Post-processing Association Rules

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorCarvalho, Veronica Oliveira de [UNESP]-
Autor(es): dc.creatorSantos, Fabiano Fernandes dos-
Autor(es): dc.creatorRezende, Solange Oliveira-
Autor(es): dc.creatorPadua, Renan de [UNESP]-
Autor(es): dc.creatorZhang, R.-
Autor(es): dc.creatorZhang, J.-
Autor(es): dc.creatorZhang, Z.-
Autor(es): dc.creatorFilipe, J.-
Autor(es): dc.creatorCordeiro, J.-
Data de aceite: dc.date.accessioned2022-02-22T00:12:40Z-
Data de disponibilização: dc.date.available2022-02-22T00:12:40Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2012-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/197437-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/197437-
Descrição: dc.descriptionThe post-processing of association rules is a difficult task, since a huge number of rules that are generated are of no interest to the user. To overcome this problem many approaches have been developed, such as objective measures and clustering. However, objective measures don't reduce nor organize the collection of rules, therefore making the understanding of the domain difficult. On the other hand, clustering doesn't reduce the exploration space nor direct the user to find interesting knowledge, therefore making the search for relevant knowledge not so easy. In this context this paper presents the PAR-COM methodology that, by combining clustering and objective measures, reduces the association rule exploration space directing the user to what is potentially interesting. An experimental study demonstrates the potential of PAR-COM to minimize the user's effort during the post-processing process.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Rio Claro, SP, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Rio Claro, SP, Brazil-
Descrição: dc.descriptionFAPESP: 2010/07879-0-
Formato: dc.format66-80-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationEnterprise Information Systems, Iceis 2011-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectAssociation rules-
Palavras-chave: dc.subjectPost-processing-
Palavras-chave: dc.subjectClustering-
Palavras-chave: dc.subjectObjective measures-
Título: dc.titlePAR-COM: A New Methodology for Post-processing Association Rules-
Aparece nas coleções:Repositório Institucional - Unesp

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