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» Performance Measurements for Privacy Preserving Data Mining
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ADC
2007
Springer
145views Database» more  ADC 2007»
15 years 8 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
CSE
2009
IEEE
15 years 2 months ago
Mining Mobility Behavior from Trajectory Data
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes o...
Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Chia...
202
Voted
VLDB
2008
ACM
147views Database» more  VLDB 2008»
16 years 2 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
16 years 2 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
SGAI
2007
Springer
15 years 8 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...