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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
18/04/2005 |
Data da última atualização: |
10/02/2020 |
Autoria: |
OLIVEIRA, S. R. de M.; ZAÏANE, O. R. |
Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta. |
Título: |
Toward standardization in privacy-preserving data mining. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON DATA MINING STANDARDS, SERVICES AND PLATFORMS, 2., 2004, Seattle. Proceedings... Illinois: University of Illinois, 2004. |
Páginas: |
p. 7-17. |
Idioma: |
Inglês |
Notas: |
Na publicação: Stanley R. M. Oliveira. |
Conteúdo: |
Introduction. Problems in defining privacy. Privacy-preserving data mining. Privacy violation in data mining. Defining privacy preservation in data mining. Characterizing scenarios in PPDM. Principles and policies for PPDM. The OECD privacy guidelines. The implications of the OECD privacy guidelines in PPDM. Adopting PPDM policies from the OECD privacy guidelines. Requirements for PPDM. Requirements for the development of technical solutions. Requirements to guide the deployment of technical solutions. Related work. Conclusions. |
Palavras-Chave: |
Data mining; Mineração de dados; Preservação de privacidade; Privacy. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/174921/1/Toward-KDD-2004.pdf
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Marc: |
LEADER 01221nam a2200193 a 4500 001 1009023 005 2020-02-10 008 2004 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, S. R. de M. 245 $aToward standardization in privacy-preserving data mining.$h[electronic resource] 260 $aIn: INTERNATIONAL WORKSHOP ON DATA MINING STANDARDS, SERVICES AND PLATFORMS, 2., 2004, Seattle. Proceedings... Illinois: University of Illinois$c2004 300 $ap. 7-17. 500 $aNa publicação: Stanley R. M. Oliveira. 520 $aIntroduction. Problems in defining privacy. Privacy-preserving data mining. Privacy violation in data mining. Defining privacy preservation in data mining. Characterizing scenarios in PPDM. Principles and policies for PPDM. The OECD privacy guidelines. The implications of the OECD privacy guidelines in PPDM. Adopting PPDM policies from the OECD privacy guidelines. Requirements for PPDM. Requirements for the development of technical solutions. Requirements to guide the deployment of technical solutions. Related work. Conclusions. 653 $aData mining 653 $aMineração de dados 653 $aPreservação de privacidade 653 $aPrivacy 700 1 $aZAÏANE, O. R.
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Embrapa Agricultura Digital (CNPTIA) |
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Registros recuperados : 16 | |
7. | | 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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