Toward standardization in privacy-preserving data mining.

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dc.contributorSTANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta.
dc.creatorOLIVEIRA, S. R. de M.
dc.creatorZAÏANE, O. R.
dc.date2018-04-04T00:33:05Z
dc.date2018-04-04T00:33:05Z
dc.date2005-04-18
dc.date2004
dc.date2020-02-10T11:11:11Z
dc.date.accessioned2026-07-07T04:15:32Z
dc.descriptionIntroduction. 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.
dc.descriptionNa publicação: Stanley R. M. Oliveira.
dc.formatp. 7-17.
dc.identifierIn: INTERNATIONAL WORKSHOP ON DATA MINING STANDARDS, SERVICES AND PLATFORMS, 2., 2004, Seattle. Proceedings... Illinois: University of Illinois, 2004.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/9023
dc.identifier.urihttp://hdl.handle.net/123456789/455785
dc.languageeng
dc.rightsopenAccess
dc.subjectMineração de dados
dc.subjectPreservação de privacidade
dc.subjectData mining
dc.subjectPrivacy
dc.titleToward standardization in privacy-preserving data mining.
dc.typeArtigo em anais e proceedings

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