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» Privacy in Data Mining Using Formal Methods
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CIKM
2009
Springer
14 years 9 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
DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
14 years 1 months ago
Mining association rules with non-uniform privacy concerns
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
Yi Xia, Yirong Yang, Yun Chi
SAC
2006
ACM
14 years 1 months ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...
Songtao Guo, Xintao Wu
DIM
2007
ACM
13 years 11 months ago
Linkability estimation between subjects and message contents using formal concepts
In this paper, we examine how conclusions about linkability threats can be drawn by analyzing message contents and subject knowledge in arbitrary communication systems. At first, ...
Stefan Berthold, Sebastian Clauß
PKDD
2007
Springer
214views Data Mining» more  PKDD 2007»
14 years 1 months ago
Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
Abstract. Analysis of privacy-sensitive data in a multi-party environment often assumes that the parties are well-behaved and they abide by the protocols. Parties compute whatever ...
Hillol Kargupta, Kamalika Das, Kun Liu