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Using a stabilized Benders algorithm for cell suppression

Author
Baena, D.; Castro, J.; Frangioni, A.
Type of activity
Presentation of work at congresses
Name of edition
Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality 2019
Date of publication
2019
Presentation's date
2019-10-30
Book of congress proceedings
2019 joint UNECE/Eurostat Work Session on Statistical Data Confidentiality: The Hague, Netherlands: october 29-31, 2019: book of abstracts
First page
1
Last page
3
Publisher
John Wiley & sons
Project funding
Very large-scale optimization: methods and applications
Repository
http://hdl.handle.net/2117/340511 Open in new window
URL
https://statswiki.unece.org/display/confid/Work+Session+on+Statistical+Data+Confidentiality+2019 Open in new window
Abstract
The cell suppression problem (CSP) is one of the most widely applied post-tabular protection methods for tabular data. Given a set of sensitive cells to be protected, its aim is to find set of additional cells whose removal guarantees that estimates of values of sensitive cells fall out of a predefined protection interval. CSP is formulated as a very large mixed integer linear optimization problem. Due to its large scale is a very challenging problem for current general optimization solvers, and...
Citation
Baena, D.; Castro, J.; Frangioni, A. Using a stabilized Benders algorithm for cell suppression. A: Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality. "2019 joint UNECE/Eurostat Work Session on Statistical Data Confidentiality: The Hague, Netherlands: october 29-31, 2019: book of abstracts". John Wiley & sons, 2019, p. 1-3.
Group of research
GNOM - Mathematical Optimization Group

Participants