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Privacy preserving data visualizations.

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第一作者： Demetris,Avraam

第一单位： Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.;Department of Business and Public Administration, University of Cyprus, Nicosia, Cyprus.

作者： Demetris,Avraam ^[1] ; Rebecca,Wilson ^[2] ; Oliver,Butters ^[2] ; Thomas,Burton ^[3] ; Christos,Nicolaides ^[4] ; Elinor,Jones ^[5] ; Andy,Boyd ^[6] ; Paul,Burton ^[7]

作者单位： Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.;Department of Business and Public Administration, University of Cyprus, Nicosia, Cyprus. ^[1] Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.;Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK. ^[2] Department of Computer Science, University of Oxford, Oxford, UK. ^[3] Department of Business and Public Administration, University of Cyprus, Nicosia, Cyprus.;Nireas Research Center, University of Cyprus, Nicosia, Cyprus.;Sloan School of Management, Massachusetts Institute of Technology, Massachusetts, USA. ^[4] Department of Statistical Science, University College London, London, UK. ^[5] Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. ^[6] Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK. ^[7]

关键词 Anonymization Data visualizations Disclosure control Privacy protection Sensitive data

DOI 10.1140/epjds/s13688-020-00257-4

PMID 33442528

发布时间 2025-05-30

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EPJ data science

2021年10卷1期

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