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» State-of-the-art in privacy preserving data mining
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ISDA
2008
IEEE
14 years 1 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
14 years 5 days 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
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
14 years 9 months ago
A Framework for High-Accuracy Privacy-Preserving Mining
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of individual data records have been proposed recently. In this paper, ...
Shipra Agrawal, Jayant R. Haritsa
ICTAI
2006
IEEE
14 years 1 months ago
Sequence Mining Without Sequences: A New Way for Privacy Preserving
During the last decade, sequential pattern mining has been the core of numerous researches. It is now possible to efficiently discover users’ behavior in various domains such a...
Stéphanie Jacquemont, François Jacqu...
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 2 months ago
Inference Analysis in Privacy-Preserving Data Re-publishing
Privacy-Preserving Data Re-publishing (PPDR) deals with publishing microdata in dynamic scenarios. Due to privacy concerns, data must be disguised before being published. Research...
Guan Wang, Zutao Zhu, Wenliang Du, Zhouxuan Teng