<div class="csl-bib-body">
<div class="csl-entry">Kowarik, A., Templ, M., Meindl, B., Fonteneau, F., & Prantner, B. (2012). Testing of IHSN C++ Code and Inclusion of New Methods into sdcMicro. In J. Domingo-Ferrer & I. Tinnirello (Eds.), <i>Lecture Notes in Computer Science</i> (Vol. 7556, pp. 63–77). Springer. https://doi.org/10.1007/978-3-642-33627-0_6</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/27683
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dc.description.abstract
The aim of a project initiated by the International Household Survey Network (IHSN, www.ihsn.org ) is to integrate the C++ code they developed to the R package sdcMicro. The methods for microdata perturbation in the R-package sdcMicro are now all based on computational fast C++ code. The paper describes how this integration was done and describes the methods ready to be used. Finally, we give an outline of on-going and further developments which are funded by the IHSN and Google.
en
dc.publisher
Springer
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dc.subject
R
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dc.subject
Statistical Disclosure Control
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dc.subject
C++
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dc.title
Testing of IHSN C++ Code and Inclusion of New Methods into sdcMicro
en
dc.type
Buchbeitrag
de
dc.type
Book Contribution
en
dc.relation.publication
Lecture Notes in Computer Science
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dc.contributor.editoraffiliation
Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili UNESCO Chair in Data Privacy, Av. Països Catalans 26, E-43007, Tarragona, Catalonia, Spain
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dc.contributor.editoraffiliation
Dipartimento di Ingegneria Elettrica, Elettronica e delle Telecomunicazioni, di tecnologie Chimiche, Automatica e modelli Matematici, Università degli Studi di Palermo, Viale delle Scienze, edificio 9, 90128, Palermo, Italy