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On some clustering approaches for graphs
Universitat Rovira i Virgili, Tarragona, Spain.
Universitat Aut`onoma de Barcelona, Spain.
2011 (English)In: Fuzzy Systems (FUZZ), 2011, IEEE , 2011, 409-415 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we discuss some tools for graph perturbation with applications to data privacy. We present and analyse two different approaches. One is based on matrix decomposition and the other on graph partitioning. We discuss these methods and show that they belong to two traditions in data protection: noise addition/microaggregation and k-anonymity.

Place, publisher, year, edition, pages
IEEE , 2011. 409-415 p.
Series
IEEE International Conference on Fuzzy Systems. Proceedings, ISSN 1098-7584
Keyword [en]
Data privacy, clustering, graph, k-anonymity, microaggregation
National Category
Information Systems Computer Science Discrete Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-91478DOI: 10.1109/FUZZY.2011.6007447ISBN: 978-1-4244-7315-1 (print)ISBN: e-978-1-4244-7316-8 OAI: oai:DiVA.org:liu-91478DiVA: diva2:618062
Conference
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 27-30 June 2011, Taipei, Taiwan
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-06

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Stokes, Klara

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • nn-NB
  • sv-SE
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Output format
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