TítuloTowards a private vector space model for confidential documents
Publication TypeConference Paper
Year of Publication2013
AuthorsAbril D, Navarro-Arribas G, Torra V
Editor
Conference NameSymposium On Applied Computing
EditorialACM
Conference LocationCoimbra, Portugal
Paginación944–945
Date Published18/03/2013
ISBN Number978-1-4503-1656-9
Palabras claveanonymization, document vector space, indexes, Privacy
Resumen

We introduce in this paper a method to anonymize document vector spaces. These vector spaces can be used to analyze confidential documents without disclosing private information. The method is inspired in microaggregation, a popular technique used in statistical disclosure control.

URLhttp://doi.acm.org/10.1145/2480362.2480543