Please use this identifier to cite or link to this item: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/4885
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dc.contributor.authorOLIVEIRA, S. R. de M.pt_BR
dc.date.accessioned2011-04-09T17:32:48Z-
dc.date.available2011-04-09T17:32:48Z-
dc.date.created2006-11-07pt_BR
dc.date.issued2006pt_BR
dc.identifier.citationCampinas: Embrapa Informática Agropecuária, 2006.pt_BR
dc.identifier.issn1677-9266eng
dc.identifier.urihttp://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/4885pt_BR
dc.descriptionThe sharing of data for mining has been proven beneficial in industry, but requires privacy safeguards. Some companies prefer to share their data for collaboration, while others decide to share only the patterns discovered from their data. The goal of these companies is to disclose only part of the knowledge and conceal a group of sensitive rules (competitive knowledge) that are paramount for strategic decisions. These rules must be protected before sharing and need to remain private. The challenge here is how to protect the sensitive rules without putting at risk the effectiveness of data mining per se. This work presents a framework for protecting sensitive knowledge in Association Rule Mining. The framework is composed of a set of heuristics and metrics to evaluate the effectiveness of these heuristics in terms of information loss and knowledge protection.eng
dc.languageenpt_BR
dc.language.isoengeng
dc.relation.ispartofseries(Embrapa Informática Agropecuária. Boletim de pesquisa e desenvolvimento, 13).pt_BR
dc.rightsopenAccesseng
dc.subjectPreservação de privacidade em mineração de dadospt_BR
dc.subjectProteção de conhecimentopt_BR
dc.subjectConhecimento competitivopt_BR
dc.subjectRegras sensíveispt_BR
dc.subjectPreservação de privacidade em mineração de regras de associaçãopt_BR
dc.subjectPrivacy-preserving data miningeng
dc.subjectKnowledge protectioneng
dc.subjectSensitive knowledgeeng
dc.subjectSensitive ruleseng
dc.subjectPrivacy-preserving association rule mining.eng
dc.subjectCompetitive knowledgeeng
dc.subjectHeurísticaeng
dc.titleHeuristics for protecting competitive knowledge in association rule mining.pt_BR
dc.typeDocumentos eletrônicospt_BR
dc.date.updated2011-04-10T11:11:11Zpt_BR
dc.format.extent248 p.pt_BR
riaa.ainfo.id4885pt_BR
riaa.ainfo.lastupdate2008-05-28pt_BR
dc.contributor.institutionSTANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA.pt_BR
Appears in Collections:Boletim de Pesquisa e Desenvolvimento (CNPTIA)

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