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» Incentive Compatible Distributed Data Mining
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SOCIALCOM
2010
12 years 11 months ago
Incentive Compatible Distributed Data Mining
Abstract--In this paper, we propose a game-theoretic mechanism to encourage truthful data sharing for distributed data mining. Our proposed mechanism uses the classic VickreyClarke...
Murat Kantarcioglu, Robert Nix
IACR
2011
87views more  IACR 2011»
12 years 4 months ago
Is privacy compatible with truthfulness?
In the area of privacy-preserving data mining, a differentially private mechanism intuitively encourages people to share their data truthfully because they are at little risk of ...
David Xiao
ML
2010
ACM
138views Machine Learning» more  ML 2010»
12 years 11 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
FGCS
2007
86views more  FGCS 2007»
13 years 4 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
PAKDD
1999
ACM
124views Data Mining» more  PAKDD 1999»
13 years 8 months ago
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...
Zbigniew W. Ras, Jan M. Zytkow