371 search results - page 7 / 75 » A Framework for Privacy Preserving Classification in Data Mi... |
PODS
2003
ACM
14 years 7 months ago
2003
ACM
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
SIGMOD
2012
ACM
11 years 10 months ago
2012
ACM
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...
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 ...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining te...
DASFAA
2004
IEEE
13 years 11 months ago
2004
IEEE
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...