Privacy Preserving Centralized Counting of Moving Objects

Author:

Liebig Thomas

Publisher

Springer International Publishing

Reference28 articles.

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2. Andrienko, N., Andrienko, G., Stange, H., Liebig, T., & Hecker, D. (2012). Visual analytics for understanding spatial situations from episodic movement data. KI—Künstliche Intelligenz (pp. 241–251).

3. Andrienko, G., Gkoulalas-Divanis, A., Gruteser, M., Kopp, C., Liebig, T., & Rechert, K. (2013). Report from dagstuhl: The liberation of mobile location data and its implications for privacy research. ACM SIGMOBILE Mobile Computing and Communications Review, 17(2), 7–18.

4. Bockermann, C., & Blom, H. (2012). The streams framework (p. 12). TU Dortmund University, Technical Report 5.

5. Bockermann, C., & Blom, H. (2012). Processing data streams with the rapidminer streams-plugin. In Proceedings of the 3rd RapidMiner Community Meeting and Conference.

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