Proportional representation to increase data utility in k-anonymous tables

Autor: Viton, Fabien, Mauger, Clémence, Dequen, Gilles, Guérin, Jean-Luc, Le Mahec, Gaël

Publikováno v: 26th IEEE Symposium on Computers and Communications
26th IEEE Symposium on Computers and Communications, Sep 2021, Athènes, Greece

International audience; The increasing number of published data has allowed the development of data mining, resting on the use of the data to extract knowledge. At the same time, to tackle privacy concerns, anonymization models such as k-anonymity ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc79d59f935afd6c483a7919543910d7
https://doi.org/10.1109/iscc53001.2021.9631457