39 search results - page 4 / 8 » Privacy Preserving and Data Mining in an On-Line Statistical... |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
SIGMOD
2010
ACM
13 years 7 months ago
2010
ACM
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
USS
2010
2010
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
13 years 5 months ago
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...