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» Using Anonymized Data for Classification
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ESORICS
2004
Springer
15 years 5 months ago
Comparison Between Two Practical Mix Designs
We evaluate the anonymity provided by two popular email mix implementations, Mixmaster and Reliable, and compare their effectiveness through the use of simulations which model th...
Claudia Díaz, Len Sassaman, Evelyne Dewitte
DEXA
2006
Springer
143views Database» more  DEXA 2006»
15 years 4 months ago
Multivariate Stream Data Classification Using Simple Text Classifiers
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding wi...
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu
129
Voted
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
15 years 18 days ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung
126
Voted
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 5 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
IMC
2007
ACM
15 years 2 months ago
Issues and etiquette concerning use of shared measurement data
In this note we discuss issues surrounding how to provide and use network measurement data made available for sharing among researchers. While previous work has focused on the tec...
Mark Allman, Vern Paxson