This report documents the program and the outcomes of Dagstuhl Seminar#R##N#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.
['Chris Clifton', 'Bart Kuijpers', 'Katharina Morik', 'Yücel Saygin']
Mobility Data Mining and Privacy (Dagstuhl Seminar 12331)