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Abul, Osman; Bonchi, Francesco; Nanni, Mirco
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Abul, Osman</dc:creator> <dc:creator>Bonchi, Francesco</dc:creator> <dc:creator>Nanni, Mirco</dc:creator> <dc:date>2010-01-01</dc:date> <dc:description>Preserving individual privacy when publishing data is a problem that is receiving increasing attention. Thanks to its simplicity the concept of k-anonymity, introduced by Samarati and Sweeney [1], established itself as one fundamental principle for privacy preserving data publishing. According to the k-anonymity principle, each release of data must be such that each individual is indistinguishable from at least k-1 other individuals.</dc:description> <dc:identifier>https://aperta.ulakbim.gov.trrecord/27775</dc:identifier> <dc:identifier>oai:zenodo.org:27775</dc:identifier> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights> <dc:source>INFORMATION SYSTEMS 35(8) 884-910</dc:source> <dc:title>Anonymization of moving objects databases by clustering and perturbation</dc:title> <dc:type>info:eu-repo/semantics/article</dc:type> <dc:type>publication-article</dc:type> </oai_dc:dc>
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