HDDA : DataSifter: statistical obfuscation of electronic health records and other sensitive datasets
There are no practical and effective mechanisms to share high-dimensional data including sensitive information in various fields like health financial intelligence or socioeconomics without compromising either the utility of the data or exposing private personal or secure organizational information....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Journal of statistical computation and simulation. - 1999. - 89(2018), 2 vom: 08., Seite 249-271
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| 1. Verfasser: |
Marino, Simeone
(VerfasserIn) |
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| Weitere Verfasser: |
Zhou, Nina,
Zhao, Yi,
Wang, Lu,
Wu, Qiucheng,
Dinov, Ivo D |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | Journal of statistical computation and simulation
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| Schlagworte: | Journal Article
Big Data
Data sharing
information protection
personal privacy
statistical method |
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