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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
20/04/2004 |
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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: |
Protecting sensitive knowledge by data sanitization. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
In: IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 3., 2003, Melbourne. Proceedings... Los Alamitos: IEEE Computer Society, 2003. |
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Páginas: |
p. 613-616. |
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ISBN: |
0-7695-1978-4/03 |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Stanley R. M. Oliveira. ICDM 2003. |
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Conteúdo: |
In this paper, we address the problem of protecting some sensitive knowledge in transactional databases. The challenge is on protecting actionable knowledge for strategic decisions, but at the same time not losing the great benefit of association rule mining. To accomplish that, we introduce a new, efficient one-scan algorithm that meets privacy protection and accuracy in association rule mining, without putting at risk the effectiveness of the data mining per se. |
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Palavras-Chave: |
Proteção de dados; Sanitização de dados. |
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Thesagro: |
Base de Dados. |
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Thesaurus Nal: |
Databases; Knowledge. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 1008885
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008 2003 bl uuuu u00u1 u #d
020 $a0-7695-1978-4/03
100 1 $aOLIVEIRA, S. R. de M.
245 $aProtecting sensitive knowledge by data sanitization.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 3., 2003, Melbourne. Proceedings... Los Alamitos: IEEE Computer Society$c2003
300 $ap. 613-616.
500 $aNa publicação: Stanley R. M. Oliveira. ICDM 2003.
520 $aIn this paper, we address the problem of protecting some sensitive knowledge in transactional databases. The challenge is on protecting actionable knowledge for strategic decisions, but at the same time not losing the great benefit of association rule mining. To accomplish that, we introduce a new, efficient one-scan algorithm that meets privacy protection and accuracy in association rule mining, without putting at risk the effectiveness of the data mining per se.
650 $aDatabases
650 $aKnowledge
650 $aBase de Dados
653 $aProteção de dados
653 $aSanitização de dados
700 1 $aZAÏANE, O. R.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
