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Exploring the data using Extended Association Rule Network

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dc.contributor.authorPadua, Renan de
dc.contributor.authorCalcada, Dario Brito
dc.contributor.authorCarvalho, Veronica Oliveira de [UNESP]
dc.contributor.authorRezende, Solange Oliveira
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionItau Unibanco
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-05T12:39:50Z
dc.date.available2019-10-05T12:39:50Z
dc.date.issued2018-01-01
dc.description.abstractIn this paper, we presented the Extended Association Rule Network (ExARN) to structure, prune and analyze a set of association rules, aiming to build hypothesis candidates. The ExARN extends the ARN, proposed by [2], allowing a more complete exploration. We validate the ExARN using two databases: contact lenses and hayes-roth, both available online for download. The results were validated by comparing the ExARN to the conventional ARN and also by comparing the results with a decision tree algorithms. The approach presented promising results, showing its capability to explain a set of objective items, aiding the user on the hypothesis building.en
dc.description.affiliationUniv Sao Paulo, Inst Ciencias Matemat & Comp, Sao Carlos, SP, Brazil
dc.description.affiliationItau Unibanco, Data Sci Team, Sao Paulo, Brazil
dc.description.affiliationUniv Estadual Paulista, Inst Geociencias & Ciencias Exatas, Rio Claro, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Inst Geociencias & Ciencias Exatas, Rio Claro, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2016/17078-0
dc.format.extent330-335
dc.identifierhttp://dx.doi.org/10.1109/BRACIS.2018.00064
dc.identifier.citation2018 7th Brazilian Conference On Intelligent Systems (bracis). New York: Ieee, p. 330-335, 2018.
dc.identifier.doi10.1109/BRACIS.2018.00064
dc.identifier.urihttp://hdl.handle.net/11449/186619
dc.identifier.wosWOS:000457627300056
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2018 7th Brazilian Conference On Intelligent Systems (bracis)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectAssociation Rules
dc.subjectAssociation Rules Network
dc.subjectHypothesis building
dc.subjectData Analysis and Market Basket Analysis
dc.titleExploring the data using Extended Association Rule Networken
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentEstatística, Matemática Aplicada e Computação - IGCEpt

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Rio Claro - IGCE - Instituto de Geociências e Ciências Exatas