PAR-COM: A new methodology for post-processing association rules

Página do item simplificado
dc.contributor.authorDe Carvalho, Veronica Oliveira [UNESP]
dc.contributor.authorDos Santos, Fabiano Fernandes
dc.contributor.authorRezende, Solange Oliveira
dc.contributor.authorDe Padua, Renan [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2014-05-27T11:26:50Z
dc.date.available2014-05-27T11:26:50Z
dc.date.issued2012-06-05
dc.description.abstractThe 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. © 2012 Springer-Verlag.en
dc.description.affiliationUniv. Estadual Paulista (Unesp), Rio Claro, SP
dc.description.affiliationUniversidade de São Paulo (USP), São Carlos, SP
dc.description.affiliationUnespUniv. Estadual Paulista (Unesp), Rio Claro, SP
dc.format.extent66-80
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-29958-2_5
dc.identifier.citationLecture Notes in Business Information Processing, v. 102 LNBIP, p. 66-80.
dc.identifier.doi10.1007/978-3-642-29958-2_5
dc.identifier.issn1865-1348
dc.identifier.scopus2-s2.0-84861668130
dc.identifier.urihttp://hdl.handle.net/11449/73368
dc.language.isoeng
dc.relation.ispartofLecture Notes in Business Information Processing
dc.relation.ispartofsjr0,222
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAssociation rules
dc.subjectClustering
dc.subjectObjective measures
dc.subjectPost-processing
dc.subjectExperimental studies
dc.subjectObjective measure
dc.subjectPost processing
dc.subjectInformation systems
dc.titlePAR-COM: A new methodology for post-processing association rulesen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights

Arquivos

Coleções

Artigos