Adjusting the τ-argus modular approach to deal with linked tables

Authors:
Peter-Paul de Wolf;Sarah Giessing
Affiliations:
Department of Methodology and Quality, Statistics Netherlands, P.O. Box 24500, 2490 HA Den Haag, The Netherlands;Federal Statistical Office of Germany, 65180 Wiesbaden, Germany
Venue:
Data & Knowledge Engineering
Year:
2009

Citing 3
Cited 1

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Abstract

The software package @t-argus offers a very efficient algorithm for secondary cell suppression known as either HiTaS or the modular approach. The method is well suited for the protection of up to 3-dimensional hierarchical tables. In practice, statistical agencies release multiple tabulations based on the same dataset. Usually these tables are linked through certain linear constraints. In such a case cell suppressions must obviously be coordinated between tables. In this paper we investigate into the possibilities for an extension of the modular approach to deal with linked tables.