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» Optimal randomization for privacy preserving data mining
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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
13 years 11 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 2 months ago
Privacy-Preserving k-NN for Small and Large Data Sets
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
Artak Amirbekyan, Vladimir Estivill-Castro
TDP
2010
166views more  TDP 2010»
13 years 2 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
CIKM
2006
Springer
13 years 11 months ago
An integer programming approach for frequent itemset hiding
The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive k...
Aris Gkoulalas-Divanis, Vassilios S. Verykios
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
14 years 8 months ago
Using randomized response techniques for privacy-preserving data mining
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to use the randomized response techniques to conduct the data mining computation. S...
Wenliang Du, Zhijun Zhan