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» Optimal randomization for privacy preserving data mining
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CASCON
2004
129views Education» more  CASCON 2004»
13 years 9 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
SAC
2005
ACM
14 years 1 months ago
SVD-based collaborative filtering with privacy
Collaborative ļ¬ltering (CF) techniques are becoming increasingly popular with the evolution of the Internet. Such techniques recommend products to customers using similar usersā...
Huseyin Polat, Wenliang Du
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 5 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 8 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
ICDM
2008
IEEE
95views Data Mining» more  ICDM 2008»
14 years 2 months ago
Publishing Sensitive Transactions for Itemset Utility
We consider the problem of publishing sensitive transaction data with privacy preservation. High dimensionality of transaction data poses unique challenges on data privacy and dat...
Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Che...