Privacy in Statistical Databases
Publication year: 2006
: 978-3-540-49332-7
Privacy in statistical databases is a discipline whose purpose is to provide - lutions to the con?ict between the increasing social, political and economical demand of accurate information, and the legal and ethical obligation to protect the privacy of the individuals and enterprises to which statistical data refer. - yond law and ethics, there are also practical reasons for statistical agencies and data collectors to invest in this topic: if individual and corporate respondents feel their privacyguaranteed,they arelikelyto providemoreaccurateresponses.
: Computer Science, Estimator, Excel, Sage, Time series, anonymity, bayesian model, calculus, data mining, inference control, information loss, kernel density estimation, learning, microdata, privacy, proving
