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» Smooth sensitivity and sampling in private data analysis
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DSS
2007
226views more  DSS 2007»
13 years 7 months ago
Dare to share: Protecting sensitive knowledge with data sanitization
chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
Ali Amiri
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 10 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
ICASSP
2011
IEEE
12 years 11 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
BMCBI
2006
118views more  BMCBI 2006»
13 years 7 months ago
Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis
Background: Concerns are often raised about the accuracy of microarray technologies and the degree of cross-platform agreement, but there are yet no methods which can unambiguousl...
Andrew J. Holloway, Alicia Oshlack, Dileepa S. Diy...
SDM
2012
SIAM
235views Data Mining» more  SDM 2012»
11 years 10 months ago
Sampling Strategies to Evaluate the Performance of Unknown Predictors
The focus of this paper is on how to select a small sample of examples for labeling that can help us to evaluate many different classification models unknown at the time of sampl...
Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrech...