Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics: Fuzzy-Motivated Approach

To preserve privacy, the original data points (with exact values) are replaced by boxes containing each (inaccessible) data point. This privacy-motivated uncertainty leads to uncertainty in the statistical characteristics computed based on this data. In a previous paper, we described how to minimize...

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Hlavní autoři: Xiang, G., Ferson, S., Ginzburg, L., Longpré, L., Mayorga, E., Kosheleva, O.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4150686/
https://ncbi.nlm.nih.gov/pubmed/25187183
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608471
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