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CIDM
2007
IEEE
14 years 2 months ago
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Lisa Singh, Mehmet Sayal
ICCS
2005
Springer
14 years 1 months ago
Hierarchical Infrastructure for Large-Scale Distributed Privacy-Preserving Data Mining
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
Jinlong Wang, Congfu Xu, Huifeng Shen, Yunhe Pan
NDSS
2006
IEEE
14 years 1 months ago
Toward a Practical Data Privacy Scheme for a Distributed Implementation of the Smith-Waterman Genome Sequence Comparison Algorit
Volunteer distributed computations utilize spare processor cycles of personal computers that are connected to the Internet. The resulting platforms provide computational power pre...
Doug Szajda, Michael Pohl, Jason Owen, Barry G. La...
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 1 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
13 years 9 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...