157 search results - page 12 / 32 » State-of-the-art in privacy preserving data mining |
PODS
2001
ACM
14 years 7 months ago
2001
ACM
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
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 ...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
We provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. We also propose a classification hierarchy that sets the basis for ana...
ICDE
2008
IEEE
14 years 8 months ago
2008
IEEE
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...