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VLDB
2007
ACM
108views Database» more  VLDB 2007»
14 years 11 months ago
Time Series Compressibility and Privacy
In this paper we study the trade-offs between time series compressibility and partial information hiding and their fundamental implications on how we should introduce uncertainty ...
Spiros Papadimitriou, Feifei Li, George Kollios, P...
ICDE
2010
IEEE
194views Database» more  ICDE 2010»
14 years 11 months ago
XColor: Protecting General Proximity Privacy
As a severe threat in anonymized data publication, proximity breach is gaining increasing attention. Such breach occurs when an attacker learns with high confidence that the sensit...
Ting Wang, Ling Liu
DEXAW
2007
IEEE
135views Database» more  DEXAW 2007»
14 years 5 months ago
Unsupervised Learning of Manifolds via Linear Approximations
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
Hassan A. Kingravi, M. Emre Celebi, Pragya P. Raja...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
15 years 16 days ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong
COMPSAC
2009
IEEE
14 years 3 months ago
A Privacy Enhancing Approach for Identity Inference Protection in Location-Based Services
—Recent advances in mobile handheld devices have facilitated the ubiquitous availability of location based services. Systems which provide location based services have always bee...
Chowdhury Sharif Hasan, Sheikh Iqbal Ahamed, Moham...