Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/134399
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Choquet integral for record linkage |
Autor: | Abril, Daniel CSIC ORCID; Navarro-Arribas, Guillermo CSIC ORCID; Torra, Vicenç CSIC ORCID | Palabras clave: | Optimization Record linkage Data privacy Choquet integral |
Fecha de publicación: | 2012 | Editor: | Springer Nature | Citación: | Annals of Operations Research 195 (1): 97- 110 (2012) | Resumen: | Record linkage is used in data privacy to evaluate the disclosure risk of protected data. It models potential attacks, where an intruder attempts to link records from the protected data to the original data. In this paper we introduce a novel distance based record linkage, which uses the Choquet integral to compute the distance between records. We use a fuzzy measure to weight each subset of variables from each record. This allows us to improve standard record linkage and provide insightful information about the re-identification risk of each variable and their interaction. To do that, we use a supervised learning approach which determines the optimal fuzzy measure for the linkage. © 2011 Springer Science+Business Media, LLC. | URI: | http://hdl.handle.net/10261/134399 | DOI: | 10.1007/s10479-011-0989-x | Identificadores: | doi: 10.1007/s10479-011-0989-x issn: 0254-5330 |
Aparece en las colecciones: | (IIIA) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
20
checked on 20-abr-2024
WEB OF SCIENCETM
Citations
15
checked on 28-feb-2024
Page view(s)
218
checked on 24-abr-2024
Download(s)
108
checked on 24-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.