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» Continuous privacy preserving publishing of data streams
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DASFAA
2010
IEEE
179views Database» more  DASFAA 2010»
14 years 2 months ago
Scalable Splitting of Massive Data Streams
Scalable execution of continuous queries over massive data streams often requires splitting input streams into parallel sub-streams over which query operators are executed in paral...
Erik Zeitler, Tore Risch
CIKM
2009
Springer
14 years 2 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
PVLDB
2010
95views more  PVLDB 2010»
13 years 5 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 7 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
IEEEIAS
2007
IEEE
14 years 1 months ago
A Purpose-Based Access Control Model
: Achieving privacy preservation in a data-sharing computing environment is becoming a challenging problem. Some organisations may have published privacy policies, which promise pr...
Naikuo Yang, Howard Barringer, Ning Zhang