Document Open Access Logo

Mobility Data Mining and Privacy (Dagstuhl Seminar 12331)

Authors Christopher W. Clifton, Bart Kuijpers, Katharina Morik, Yucel Saygin and all authors of the abstracts in this report

PDF

File

Thumbnail PDF
PDF
DagRep.2.8.16.pdf
  • Filesize: 3.18 MB
  • 38 pages

Document Identifiers

Subject Classification

Keywords
  • Privacy
  • Mobility
  • Cellular
  • Vehicular Data

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
    0
    Metadata Views

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar
12331 "Mobility Data Mining and Privacy". Mobility data mining aims to extract knowledge from movement behaviour of people, but this data also poses novel privacy risks. This seminar gathered a multidisciplinary team for a conversation on how to balance the value in mining mobility data with privacy issues. The seminar focused on four key issues:  Privacy in vehicular data, in cellular data, context-dependent privacy, and use of location uncertainty to provide privacy.

Cite As Get BibTex

Christopher W. Clifton, Bart Kuijpers, Katharina Morik, and Yucel Saygin. Mobility Data Mining and Privacy (Dagstuhl Seminar 12331). In Dagstuhl Reports, Volume 2, Issue 8, pp. 16-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012) https://doi.org/10.4230/DagRep.2.8.16

Author Details

Christopher W. Clifton
Bart Kuijpers
Katharina Morik
Yucel Saygin
and all authors of the abstracts in this report
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2025 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact