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On some clustering approaches for graphs
Universitat Rovira i Virgili, Tarragona, Spain.ORCID-id: 0000-0002-5040-2089
Universitat Autònoma de Barcelona (UAB), Spain.ORCID-id: 0000-0002-0368-8037
2011 (engelsk)Inngår i: Fuzzy Systems (FUZZ), 2011, IEEE conference proceedings, 2011, s. 409-415Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2011. s. 409-415
Serie
IEEE International Conference on Fuzzy Systems. Proceedings, ISSN 1098-7584
Emneord [en]
Data privacy, clustering, graph, k-anonymity, microaggregation
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-10681DOI: 10.1109/FUZZY.2011.6007447ISI: 000295224300058Scopus ID: 2-s2.0-80053058551ISBN: 978-1-4244-7315-1 ISBN: 978-1-4244-7316-8 ISBN: 978-1-4244-7317-5 OAI: oai:DiVA.org:his-10681DiVA, id: diva2:833310
Konferanse
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 27-30 June 2011, Taipei, Taiwan
Tilgjengelig fra: 2013-04-25 Laget: 2015-02-12 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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