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[null,"1.","Record Nr.",null,"UNISA996418295203316"]
[null,null,"Titolo",null,"Privacy in statistical databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020 : proceedings / / Josep Domingo-Ferrer, Krishnamurty Muralidhar (editors)"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2020]"]
[{"$nulls":4},"©2020"]
[null,null,"ISBN",null,"3-030-57521-7"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XI, 370 p. 25 illus.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI ; ; 12276"]
[null,null,"Disciplina",null,"005.8"]
[null,null,"Soggetti",null,"Database security"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Statistics - Databases"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Privacy models -- Microdata protection -- Protection of statistical tables -- Protection of interactive and mobility databases -- Record linkage and alternative methods -- Synthetic data -- Data quality -- Case studies."]
[null,null,null,"Sommario/riassunto","The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com."]