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AUSDM
2008
Springer
188views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Priority Driven K-Anonymisation for Privacy Protection
Given the threat of re-identification in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a difficult problem. ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
CSE
2009
IEEE
15 years 6 months ago
Designing Privacy for Scalable Electronic Healthcare Linkage
—A unified electronic health record (EHR) has potentially immeasurable benefits to society, and the current healthcare industry drive to create a single EHR reflects this. Howeve...
Anthony Stell, Richard O. Sinnott, Oluwafemi Ajayi...
90
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SDM
2009
SIAM
125views Data Mining» more  SDM 2009»
15 years 8 months ago
Identifying Unsafe Routes for Network-Based Trajectory Privacy.
In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
Aris Gkoulalas-Divanis, Mohamed F. Mokbel, Vassili...
TDP
2010
166views more  TDP 2010»
14 years 5 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
14 years 9 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...