An algorithm based on graph theory tools to detect differentiation problems. A differentiation problem occurs when aggregated data are disseminated according to two different nomenclatures. By making the difference for an additive variable X between an aggregate composed of categories of the first nomenclature and an other aggregate, included in that first aggregate, composed of categories of the second nomenclature, it is sometimes possible to derive X on a small aggregate of records which could then lead to a break of confidentiality. The purpose of this package is to detect the set of aggregates composed of categories of the first nomenclature which lead to a differentiation problem, when given a confidentiality threshold. Reference: Vianney Costemalle (2019) <doi: 10.3233/SJI-190564>.
Package details |
|
---|---|
Author | Vianney Costemalle [aut, cre], Arlindo Dos Santos [aut], Francois Semecurbe [aut] |
Maintainer | Vianney Costemalle <vianney.costemalle@insee.fr> |
License | GPL (>= 2) |
Version | 0.1.1 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.