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?:abstract
  • This section introduces the basic concepts related to statistical disclosure. It presents definitions for certain groups of variables such as sensitive variables or key variables. They are crucial for any other chapter, since SDC methods differ depending on the variables chosen. In addition, basic intruder scenarios are described such as identity, attribute and inferential disclosure. The chapter ends with a discussion about the trade-off between disclosure risk and information loss. The more the disclosure risk is reduced the higher the information loss and the lower the data utility. The concept of risk-utility maps that reports this trade-off is explained based on real data. (xsd:string)
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?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2017 (xsd:gyear)
?:datePublished
  • 2017 (xsd:gyear)
?:doi
  • 10.1007/978-3-319-50272-4_2 ()
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?:editor
?:fromPage
  • 35 (xsd:string)
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?:inLanguage
  • english (xsd:string)
?:isbn
  • 978-3-319-50272-4 ()
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?:name
  • Statistical Disclosure Control for Microdata (xsd:string)
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  • incollection (xsd:string)
?:publisher
?:sourceCollection
  • Statistical Disclosure Control for Microdata: Methods and Applications in R (xsd:string)
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In Statistical Disclosure Control for Microdata: Methods and Applications in R, edited by Templ, Matthias, 35-48, Springer International Publishing, 2017 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
?:tags
  • 2017 (xsd:string)
  • FDZ_GML (xsd:string)
  • SILC (xsd:string)
  • SILC_input2020 (xsd:string)
  • SILC_pro (xsd:string)
  • checked (xsd:string)
  • imported (xsd:string)
  • incollection (xsd:string)
  • jak (xsd:string)
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  • 48 (xsd:string)
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