Skip to main content

Research Repository

Advanced Search

A preprocessing optimization applied to the cell suppression problem in statistical disclosure control

Staggemeier, Andrea; Serpell, Martin; Smith, Jim; Clark, Alistair; Staggemeier, Andrea T.

Authors

Andrea Staggemeier

Martin Serpell Martin2.Serpell@uwe.ac.uk
Senior Lecturer in Computer Systems and Networks

Jim Smith James.Smith@uwe.ac.uk
Professor in Interactive Artificial Intelligence

Andrea T. Staggemeier



Abstract

As organizations start to publish the data that they collect, either internally or externally, in the form of statistical tables they need to consider the protection of the confidential information held in those tables. The algorithms used to protect the confidential information in these statistical tables are computationally expensive. However a simple preprocessing optimization applied prior to protection can save time, improve the resultant protection and on occasions enable the use of exact methods where otherwise heuristic methods would have been necessary. The theory behind this preprocessing optimization, how it can be applied and its effectiveness are described in this paper. © 2013 Elsevier Inc. All rights reserved.

Journal Article Type Article
Publication Date Jul 20, 2013
Journal Information Sciences
Print ISSN 0020-0255
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 238
Pages 22-32
APA6 Citation Staggemeier, A., Serpell, M., Smith, J., Clark, A., & Staggemeier, A. T. (2013). A preprocessing optimization applied to the cell suppression problem in statistical disclosure control. Information Sciences, 238, 22-32. https://doi.org/10.1016/j.ins.2013.02.006
DOI https://doi.org/10.1016/j.ins.2013.02.006
;