Computing Covariance and Correlation in Optimally Privacy-Protected Statistical Databases: Feasible Algorithms

DOI10.1007/978-3-319-03674-8_35zbMath1303.68045OpenAlexW1575562228MaRDI QIDQ2940827

Joshua Day, Ali Jalal-Kamali, Vladik Ya. Kreinovich

Publication date: 21 January 2015

Published in: Advance Trends in Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-03674-8_35

zbMATH Keywords

interval uncertaintyprivacy protectionstatistical databasecomputing correlationcomputing covariance

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Database theory (68P15) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

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• Computing statistics under interval and fuzzy uncertainty. Applications to computer science and engineering
• Towards combining probabilistic and interval uncertainty in engineering calculations: algorithms for computing statistics under interval uncertainty, and their computational complexity
• Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases
• k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

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