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» Randomization in Privacy-Preserving Data Mining
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DAWAK
2006
Springer
14 years 1 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
AISADM
2007
Springer
14 years 4 months ago
Peer-to-Peer Data Mining, Privacy Issues, and Games
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, searching and indexing of releva...
Kanishka Bhaduri, Kamalika Das, Hillol Kargupta
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 7 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