New approach to the re-identification problem using neural networks

Jordi Nin, Vicenç Torra

Research output: Book chapterConference contributionpeer-review

3 Citations (Scopus)

Abstract

Schema and record matching are tools to integrate files or databases. Record linkage is one of the tools used to link those records that while belonging to different files correspond to the same individual. Standard record linkage methods are applied when the records of both files are described using the same variables. One of the non-standard record linkage methods corresponds to the case when files are not described using the same variables. In this paper we study record linkage for non common variables. In particular, we use a supervised approach based on neural networks. We use a neural network to find the relationships between variables. Then, we use these relationships to translate the information in the domain of one file into the domain of the other file.

Original languageEnglish
Title of host publicationModeling Decisions for Artificial Intelligence - Third International Conference, MDAI 2006, Proceedings
Pages251-261
Number of pages11
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event3rd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2006 - Tarragona, Spain
Duration: 3 Apr 20065 Apr 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3885 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2006
Country/TerritorySpain
CityTarragona
Period3/04/065/04/06

Keywords

  • Data mining
  • Database integration
  • Information fusion
  • Information privacy
  • Neural networks
  • Re-identification algorithms
  • Record linkage

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