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ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
14 years 4 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
SIGMOD
2012
ACM
250views Database» more  SIGMOD 2012»
12 years 9 days ago
Authenticating location-based services without compromising location privacy
The popularity of mobile social networking services (mSNSs) is propelling more and more businesses, especially those in retailing and marketing, into mobile and location-based for...
Haibo Hu, Jianliang Xu, Qian Chen, Ziwei Yang
SDM
2009
SIAM
125views Data Mining» more  SDM 2009»
14 years 7 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...
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 9 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
13 years 7 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...