Does <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-Anonymous Microaggregation Affect Machine-Learned Macrotrends?

Does <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-Anonymous Microaggregation Affect Machine-Learned Macrotrends?

In the era of big data, the availability of massive amounts of information makes privacy protection more necessary than ever. Among a variety of anonymization mechanisms, microaggregation is a common approach to satisfy the popular requirement of k-anonymity in statistical databases. In essence, k-a...

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Bibliographic Details
Main Authors: Ana Rodriguez-Hoyos, Jose Estrada-Jimenez, David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forne
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k</italic>-anonymity
microaggregation
machine learning
privacy
large-scale databases
Online Access:https://ieeexplore.ieee.org/document/8360116/

Internet

https://ieeexplore.ieee.org/document/8360116/

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