Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Microdata Rounding

  • Josep Domingo-FerrerEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1498




Microdata rounding is a family of masking methods for statistical disclosure control of numerical microdata; a similar principle can be used to protect tabular data. Rounding replaces original values of attributes with rounded values. For a given attribute Xi, rounded values are chosen among a set of rounding points defining a rounding set (often the multiples of a given base value).

Key Points

In a multivariate original dataset, rounding is usually performed one attribute at a time (univariate rounding); however, multivariate rounding is also possible [1, 2]. The operating principle of rounding makes it suitable for continuous data.


Recommended Reading

  1. 1.
    Cox LH, Kim JJ. Effects of rounding on the quality and confidentiality of statistical data. In: Domingo-Ferrer J, Franconi L, editors. Privacy in statistical databases. LNCS, vol. 4302. Heidelberg: Springer; 2006. p. 48–56.CrossRefGoogle Scholar
  2. 2.
    Willenborg L, DeWaal T. Elements of statistical disclosure control. New York: Springer; 2001.zbMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Universitat Rovira i VirgiliTarragonaSpain

Section editors and affiliations

  • Elena Ferrari
    • 1
  1. 1.DiSTAUniv. of InsubriaVareseItaly