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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/03/2007 |
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Data da última atualização: |
17/01/2020 |
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Autoria: |
OLIVEIRA, S. R. de M.; ZAÏANE, O. R. |
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Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta. |
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Título: |
A unified framework for protecting sensitive association rules in business collaboration. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
International Journal Business Intelligence and Data Mining, v. 1, n. 3, p. 247-287, 2006. |
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DOI: |
https://doi.org/10.1504/IJBIDM.2006.009135 |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Stanley R. M. Oliveira. |
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Conteúdo: |
Abstract. The sharing of association rules has been proven beneficial in business collaboration, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal strategic patterns called sensitive rules. The challenge here is how to protect the sensitive rules without losing the benefit of mining. To address this problem, we propose a unified framework that combines: a set of algorithms to protect sensitive knowledge; retrieval facilities to speed up the process of knowledge protecting; and a set of metrics to evaluate the effectiveness of the proposed algorithms in terms of information loss and private information disclosure |
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Palavras-Chave: |
Association rules; Business collaboration; Collaborative projects; Competitive knowledge; conhecimento competitivo; conhecimento sensitivo; Information loss; Knowledge protection; Mineração de dados; Privacy preserving data mining; Privacy safeguards; Private information disclosure; Proteção do conhecimento; Regras de associação; Regras sensitivas; Sensitive knowledge; Sensitive rules. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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024 7 $ahttps://doi.org/10.1504/IJBIDM.2006.009135$2DOI
100 1 $aOLIVEIRA, S. R. de M.
245 $aA unified framework for protecting sensitive association rules in business collaboration.$h[electronic resource]
260 $c2006
500 $aNa publicação: Stanley R. M. Oliveira.
520 $aAbstract. The sharing of association rules has been proven beneficial in business collaboration, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal strategic patterns called sensitive rules. The challenge here is how to protect the sensitive rules without losing the benefit of mining. To address this problem, we propose a unified framework that combines: a set of algorithms to protect sensitive knowledge; retrieval facilities to speed up the process of knowledge protecting; and a set of metrics to evaluate the effectiveness of the proposed algorithms in terms of information loss and private information disclosure
653 $aAssociation rules
653 $aBusiness collaboration
653 $aCollaborative projects
653 $aCompetitive knowledge
653 $aconhecimento competitivo
653 $aconhecimento sensitivo
653 $aInformation loss
653 $aKnowledge protection
653 $aMineração de dados
653 $aPrivacy preserving data mining
653 $aPrivacy safeguards
653 $aPrivate information disclosure
653 $aProteção do conhecimento
653 $aRegras de associação
653 $aRegras sensitivas
653 $aSensitive knowledge
653 $aSensitive rules
700 1 $aZAÏANE, O. R.
773 $tInternational Journal Business Intelligence and Data Mining$gv. 1, n. 3, p. 247-287, 2006.
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Embrapa Agricultura Digital (CNPTIA) |
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| Registros recuperados : 16 | |
| 5. |  | OLIVEIRA, S. R. de M.; ZAÏANE, O. R.; SAYGIN, Y. Secure association rule sharing. In: PACIFIC-ASIA CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 8., 2004, Sidney, Australia. Advances in knowledge discovery and data mining: proceedings. Berlin: Springer, 2004. p. 74-85. (Lecture notes in artificial intelligence, 3056). Editores: Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang. PAKDD 2004. Na publicação: Stanley R. M. Oliveira.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 16 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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