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» Privacy and Data Mining: New Developments and Challenges
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USS
2010
14 years 7 months ago
SEPIA: Privacy-Preserving Aggregation of Multi-Domain Network Events and Statistics
Secure multiparty computation (MPC) allows joint privacy-preserving computations on data of multiple parties. Although MPC has been studied substantially, building solutions that ...
Martin Burkhart, Mario Strasser, Dilip Many, Xenof...
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
15 years 10 months ago
M-invariance: towards privacy preserving re-publication of dynamic datasets
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
Xiaokui Xiao, Yufei Tao
IPPS
2008
IEEE
15 years 4 months ago
Overcoming scaling challenges in biomolecular simulations across multiple platforms
NAMD† is a portable parallel application for biomolecular simulations. NAMD pioneered the use of hybrid spatial and force decomposition, a technique now used by most scalable pr...
Abhinav Bhatele, Sameer Kumar, Chao Mei, James C. ...
VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 3 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
14 years 10 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...