@inproceedings{cfa0a76ce95548dcad3b403c6beb8251,
title = "Distance based re-identification for time series, analysis of distances",
abstract = "Record linkage is a technique for linking records from different files or databases that correspond to the same entity. Standard record linkage methods need the files to have some variables in common. Typically, variables are either numerical or categorical. These variables are the basis for permitting such linkage. In this paper we study the problem when the files to link are formed by numerical time series instead of numerical variables. We study some extensions of distance base record linkage in order to take advantage of this kind of data.",
keywords = "Privacy statistical databases, Re-identification algorithms, Record linkage, Time series, Time series distances",
author = "J. Nin and Vicen{\c c} Torra",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.; CENEX-SDC Project of International Conference on Privacy in Statistical Databases, PSD2006 ; Conference date: 13-12-2006 Through 15-12-2006",
year = "2006",
doi = "10.1007/11930242_18",
language = "English",
isbn = "9783540493303",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "205--216",
editor = "Josep Domingo-Ferrer and Luisa Franconi",
booktitle = "Privacy in Statistical Databases - CENEX-SDC Project International Conference, PSD 2006, Proceedings",
address = "Germany",
}