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» Novel Algorithms for Privacy Preserving Utility Mining
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ISDA
2008
IEEE
13 years 11 months ago
Novel Algorithms for Privacy Preserving Utility Mining
Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
Jieh-Shan Yeh, Po-Chiang Hsu, Ming-Hsun Wen
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
CIS
2005
Springer
13 years 10 months ago
An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining
Abstract. As a novel research direction, privacy-preserving data mining (PPDM) has received a great deal of attentions from more and more researchers, and a large number of PPDM al...
Congfu Xu, Jinlong Wang, Hongwei Dan, Yunhe Pan
SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
13 years 6 months ago
On Privacy-Preservation of Text and Sparse Binary Data with Sketches
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Charu C. Aggarwal, Philip S. Yu
ICCS
2005
Springer
13 years 10 months ago
Hierarchical Infrastructure for Large-Scale Distributed Privacy-Preserving Data Mining
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
Jinlong Wang, Congfu Xu, Huifeng Shen, Yunhe Pan