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ICDE
2009
IEEE
176views Database» more  ICDE 2009»
14 years 11 months ago
Efficient Table Anonymization for Aggregate Query Answering
Abstract-- Privacy protection is a major concern when microdata needs to be released for ad hoc analyses. This has led to a lot of recent research in privacy goals and table anonym...
Cecilia M. Procopiuc, Divesh Srivastava
ICDE
2008
IEEE
118views Database» more  ICDE 2008»
14 years 11 months ago
k-Anonymization Revisited
In this paper we introduce new notions of k-type anonymizations. Those notions achieve similar privacy goals as those aimed by Sweenie and Samarati when proposing the concept of k-...
Aristides Gionis, Arnon Mazza, Tamir Tassa
DAWAK
2006
Springer
14 years 1 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
14 years 4 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
ADC
2006
Springer
125views Database» more  ADC 2006»
14 years 1 months ago
A reconstruction-based algorithm for classification rules hiding
Data sharing between two organizations is common in many application areas e.g. business planing or marketing. Useful global patterns can be discovered from the integrated dataset...
Juggapong Natwichai, Xue Li, Maria E. Orlowska