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DAWAK
2006
Springer
13 years 11 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
ISI
2007
Springer
14 years 1 months ago
Detecting Anomalies in Graphs
Graph data represents relationships, connections, or affinities. Innocent relationships produce repeated, and so common, substructures in graph data. We present techniques for dis...
David B. Skillicorn
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Framework for Computing the Privacy Scores of Users in Online Social Networks
—A large body of work has been devoted to address corporate-scale privacy concerns related to social networks. The main focus was on how to share social networks owned by organiz...
Kun Liu, Evimaria Terzi
MDAI
2007
Springer
14 years 1 months ago
A Public-Key Protocol for Social Networks with Private Relationships
Abstract. The need for protecting the privacy of relationships in social networks has recently been stressed in the literature. Conventional protection mechanisms in those networks...
Josep Domingo-Ferrer
PVLDB
2011
13 years 2 months ago
Personalized Social Recommendations - Accurate or Private?
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...