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CORR
2008
Springer
159views Education» more  CORR 2008»
13 years 5 months ago
Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data
We consider privacy preserving decision tree induction via ID3 in the case where the training data is horizontally or vertically distributed. Furthermore, we consider the same pro...
Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl...
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
13 years 11 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
NCA
2011
IEEE
12 years 11 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong
ADC
2007
Springer
145views Database» more  ADC 2007»
13 years 11 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
ICDE
2009
IEEE
168views Database» more  ICDE 2009»
14 years 6 months ago
Privacy-Preserving Singular Value Decomposition
Abstract-- In this paper, we propose secure protocols to perform Singular Value Decomposition (SVD) for two parties over horizontally and vertically partitioned data. We propose va...
Shuguo Han, Wee Keong Ng, Philip S. Yu