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http://hdl.handle.net/1942/14911
Title: | Report from Dagstuhl Seminar 12331 Mobility Data Mining and Privacy | Authors: | Clifton, Christopher W. KUIJPERS, Bart Morik, Katharina Saygin, Yucel |
Issue Date: | 2012 | Source: | Dagstuhl Reports, 2 (8), p. 16-53 | 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. | Keywords: | Databases; Data Mining; Mobility; Privacy | Document URI: | http://hdl.handle.net/1942/14911 | Link to publication/dataset: | http://drops.dagstuhl.de/opus/volltexte/2012/3782/ | ISSN: | 2192-5283 | DOI: | 10.4230/DagRep.2.8.16 | Rights: | Open access | Category: | M | Type: | Journal Contribution |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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dagrep_v002_i008_p016_s12331.pdf | Published version | 3.52 MB | Adobe PDF | View/Open |
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