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» Performance Measurements for Privacy Preserving Data Mining
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BNCOD
2008
88views Database» more  BNCOD 2008»
15 years 3 months ago
An Empirical Study of Utility Measures for k-Anonymisation
Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
Grigorios Loukides, Jianhua Shao
91
Voted
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 11 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
CCS
2007
ACM
15 years 8 months ago
Preserving privacy in gps traces via uncertainty-aware path cloaking
Motivated by a probe-vehicle based automotive traffic monitoring system, this paper considers the problem of guaranteed anonymity in a dataset of location traces while maintainin...
Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabad...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 2 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar
TLCA
2005
Springer
15 years 7 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...