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» A Condensation Approach to Privacy Preserving Data Mining
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ADC
2007
Springer
145views Database» more  ADC 2007»
14 years 3 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
15 years 8 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
TDP
2010
166views more  TDP 2010»
13 years 3 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...
SGAI
2007
Springer
14 years 2 months ago
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 2 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du