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Does k-Anonymous Microaggregation Affect Machine-Learned Macrotrends?
ArticleAbstract: In the era of big data, the availability of massive amounts of information makes privacy protectionPalabras claves:k-anonymity, large-scale databases, Machine learning, Microaggregation, privacyAutores:Forné J., José Estrada-Jiménez, Parra-Arnau J., Rebollo-Monedero D., Rodríguez-Hoyos A.Fuentes:googlescopusMathematically 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:googlescopus