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» Privacy Preserving Centralized Counting of Moving Objects
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ICDE
2006
IEEE
165views Database» more  ICDE 2006»
13 years 11 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
ICDE
2008
IEEE
219views Database» more  ICDE 2008»
14 years 6 months ago
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Osman Abul, Francesco Bonchi, Mirco Nanni
GIS
2008
ACM
14 years 6 months ago
Privacy: preserving trajectory collection
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Gyözö Gidófalvi, Torben Bach Pede...
ACSC
2001
IEEE
13 years 9 months ago
Starting with Termination: A Methodology for Building Distributed Garbage Collection Algorithms
We propose an effective methodology in which a distributed garbage collector may be derived from a distributed termination algorithm and a centralized garbage collector in a manne...
Stephen M. Blackburn, J. Eliot B. Moss, Richard L....
TDP
2010
140views more  TDP 2010»
13 years 4 days ago
Movement Data Anonymity through Generalization
In recent years, spatio-temporal and moving objects databases have gained considerable interest, due to the diffusion of mobile devices (e.g., mobile phones, RFID devices and GPS ...
Anna Monreale, Gennady L. Andrienko, Natalia V. An...