United Nations Statistical Commission and European Commission Economic Commission for Europe Statistical Office of the Conference of European Statisticians European Communities (eurostat) Joint Ece/eurostat Work Session on Statistical Data Confidentiality Balancing Data Quality and Confidentiality for Tabular Data Invited Paper
نویسنده
چکیده
1. Tabular data are the earliest form and remain a staple of official statistics data products. Familiar examples of tabular data products in official statistics include count data such as age-race-sex and other demographic data, concentration (or percentage) data such in financial or energy utilization statistics, and magnitude data such as total retail sales or air pollution data. Confidentiality problems in official statistics were first investigated for tabular data (Fellegi 1972). For magnitude data, the most studied and used disclosure limitation method has been complementary cell suppression (Cox 1980).
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STATISTICAL COMMISSION and COMMISSION OF THE ECONOMIC COMMISSION FOR EUROPE EUROPEAN COMMUNITIES CONFERENCE OF EUROPEAN STATISTICIANS EUROSTAT Joint ECE/Eurostat Work Session on Statistical Data Confidentiality
In this paper we consider a first attempt to deal with re-identification of individuals when the variables in the two data files to be matched are not exactly the same but "similar".
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p-Sensitive k-anonymity is a sophistication of k-anonymity requiring that there be at least p different values for each confidential attribute within the records sharing a combination of key attributes. Like for k-anonymity, the computational approach originally proposed to achieve this property is based on generalization and suppression; this has several data utility problems, such as turning ...
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