Modeling projections in microaggregation
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/12911
Tipus de documentText en actes de congrés
Data publicació2008
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Microaggregation is a method used by statistical agencies to limit the disclosure of sensitive microdata. It has been proven that microaggregation is an NP-hard problem when more than one variable is microaggregated at the same time. To solve
this problem in a heuristic way, a few methods based on projections have been introduced in the literature. The main drawback of such methods is that the projected axis is computed maximizing a statistical property (e.g., the global variance of the data), disregarding the
fact that the aim of microaggregation is to keep the disclosure risk as low as possible for all records.
In this paper we present some preliminary results on the application of aggregation functions for computing the projected axis. We show that, using the Sugeno integral to
calculate the projected axis, we can reduce in some cases the disclosure risk of the protected data (when projected microaggregation is used).
CitacióNin, J.; Torra, V. Modeling projections in microaggregation. A: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. "12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems". Málaga: 2008, p. 1384-1391.
ISBN978-84612-361-7
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
ipmu2008.pdf | 301,2Kb | Visualitza/Obre |