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TDP
2010
166views more  TDP 2010»
13 years 1 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 8 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
CIKM
2006
Springer
13 years 10 months ago
k nearest neighbor classification across multiple private databases
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Li Xiong, Subramanyam Chitti, Ling Liu
ECTEL
2006
Springer
13 years 10 months ago
Socially-Aware Informal Learning Support: Potentials and Challenges of the Social Dimension
With increasingly conceiving learning as a social activity, technological support must become more aware of the social context of the individual in order to be able to provide adeq...
Simone Braun, Andreas Schmidt
CASCON
2004
129views Education» more  CASCON 2004»
13 years 8 months ago
Building predictors from vertically distributed data
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
Sabine M. McConnell, David B. Skillicorn