Distributed L-diversity using spark-based algorithm for large resource description frameworks data

Privacy protection issues for resource description frameworks (RDFs) have emerged over the use of public government open data and the healthcare data of individuals. As these data may include personal information, they must undergo a de-identification process that deletes or replaces parts of the or...

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Veröffentlicht in:	The Journal of supercomputing 2021-07, Vol.77 (7), p.7270-7286
Hauptverfasser:	Jeon, MinHyuk, Temuujin, Odsuren, Ahn, Jinhyun, Im, Dong-Hyuk
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Compilers Computer networks Computer Science Distributed processing Identification methods Interpreters Privacy Processor Architectures Programming Languages
Online-Zugang:	Volltext
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