TítuloMicroaggregation for categorical variables: A median based approach
Publication TypeConference Paper
Year of Publication2004
AuthorsTorra V
EditorDomingo-Ferrer J, Torra V
Conference NameLecture Notes in Computer Science
Volume3050
EditorialSpringer
Paginación162-174
Resumen

Microaggregation is a masking procedure used for protecting confidential data prior to their public release. This technique, that relies on clustering and aggregation techniques, is solely used for numerical data. In this work we introduce a microaggregation procedure for categorical variables. We describe the new masking method and we analyse the results it obtains according to some indices found in the literature. The method is compared with Top and Bottom Coding, Global recoding, Rank Swapping and PRAM.