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Article(3)
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2020(3)
Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets
ArticleAbstract: The technical contents of this work fall within the statistical disclosure control (SDC) field, whicPalabras claves:Data privacy, k-anonymity, Large-scale datasets, Microaggregation, Optimized prepartitioning, Statistical disclosure controlAutores:Forné J., José Estrada-Jiménez, Mohamad Mezher A., Pallares-Segarra E., Rebollo-Monedero D., Rodríguez-Hoyos A.Fuentes:googlescopusPreserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis
ArticleAbstract: Today's countless benefits of exploiting data come with a hefty price in terms of privacy. k-AnonymoPalabras claves:Data privacy, Data utility, Lda, Microaggregation, Statistical disclosure controlAutores:Forné J., José Estrada-Jiménez, Luis Felipe Urquiza-Aguiar, Rebollo-Monedero D., Rodríguez-Hoyos A.Fuentes:googlescopusThe Fast Maximum Distance to Average Vector (F-MDAV): An algorithm for k-anonymous microaggregation in big data
ArticleAbstract: The massive exploitation of tons of data is currently guiding critical decisions in domains such asPalabras claves:BIG DATA, Data privacy, k-anonymous microaggregation, MDAV, SpeedupAutores:Forné J., José Estrada-Jiménez, Mohamad Mezher A., Parra-Arnau J., Rebollo-Monedero D., Rodríguez-Hoyos A.Fuentes:googlescopus