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» Data mining with differential privacy
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KDD
2006
ACM
166views Data Mining» more  KDD 2006»
15 years 10 months ago
Anonymizing sequential releases
An organization makes a new release as new information become available, releases a tailored view for each data request, releases sensitive information and identifying information...
Ke Wang, Benjamin C. M. Fung
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
15 years 4 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
14 years 7 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
NAR
2011
172views Computer Vision» more  NAR 2011»
14 years 20 days ago
NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data
Next-generation sequencing (NGS) together with bisulphite conversion allows the generation of whole genome methylation maps at single-cytosine resolution. This allows studying the...
Michael Hackenberg, Guillermo Barturen, José...
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 3 months ago
Transforming Semi-Honest Protocols to Ensure Accountability
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. This is especially important in the field of privacy...
Wei Jiang, Chris Clifton