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» On the Design and Quantification of Privacy Preserving Data ...
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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
PAKDD
2007
ACM
140views Data Mining» more  PAKDD 2007»
14 years 1 months ago
A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...
Zhouxuan Teng, Wenliang Du
SDMW
2004
Springer
14 years 12 days ago
Experimental Analysis of Privacy-Preserving Statistics Computation
The recent investigation of privacy-preserving data mining and other kinds of privacy-preserving distributed computation has been motivated by the growing concern about the privacy...
Hiranmayee Subramaniam, Rebecca N. Wright, Zhiqian...
KDD
2002
ACM
128views Data Mining» more  KDD 2002»
14 years 7 months ago
Privacy preserving mining of association rules
We present a framework for mining association rules from transactions consisting of categorical items where the data has been randomized to preserve privacy of individual transact...
Alexandre V. Evfimievski, Ramakrishnan Srikant, Ra...
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
13 years 8 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...