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» The Privacy of k-NN Retrieval for Horizontal Partitioned Dat...
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ADBIS
2010
Springer
333views Database» more  ADBIS 2010»
13 years 5 months ago
Horizontal Partitioning by Predicate Abstraction and Its Application to Data Warehouse Design
al Partitioning by Predicate Abstraction and its Application to Data Warehouse Design Aleksandar Dimovski1 , Goran Velinov2 , and Dragan Sahpaski2 1 Faculty of Information-Communic...
Aleksandar Dimovski, Goran Velinov, Dragan Sahpask...
PVLDB
2010
179views more  PVLDB 2010»
13 years 3 months ago
Nearest Neighbor Search with Strong Location Privacy
The tremendous growth of the Internet has significantly reduced the cost of obtaining and sharing information about individuals, raising many concerns about user privacy. Spatial...
Stavros Papadopoulos, Spiridon Bakiras, Dimitris P...
SAC
2006
ACM
13 years 10 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
13 years 8 months ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
CIKM
2009
Springer
13 years 9 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia