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On using an improved Benders method for cell suppression

Author
Baena, D; Castro, J.; Frangioni, A.
Type of activity
Presentation of work at congresses
Name of edition
UNECE/Eurostat SDC - Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality 2017
Date of publication
2017
Presentation's date
2017-09-21
Book of congress proceedings
Work Session on Statistical Data Confidentiality 2017
First page
1
Last page
3
Project funding
Very large-scale optimization: methods and applications
Repository
http://hdl.handle.net/2117/110024 Open in new window
URL
https://statswiki.unece.org/download/attachments/129174390/baena_castro_frangioni_sdc2017.pdf? Open in new window
Abstract
The cell suppression problem (CSP) is one of the most widely applied methods for tabular data protection. Given a set of primary cells to be protected, CSP aims at finding a set of secondary cells to be additionally removed to guarantee that estimates of values of primary cells fall out of a predefined protection interval. From a computational point of view, CSP is very challenging even for tables of moderate size and number of primary cells. Currently, the only effective optima...
Citation
Baena, D, Castro, J., Frangioni, A. On using an improved Benders method for cell suppression. A: Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality. "Work Session on Statistical Data Confidentiality 2017". Skopje: 2017, p. 1-3.
Group of research
GNOM - Mathematical Optimization Group

Participants

  • Baena, Daniel  (author and speaker )
  • Castro Perez, Jordi  (author and speaker )
  • Frangioni, Antonio  (author and speaker )

Attachments