77 search results - page 9 / 16 » On the Anonymization of Sparse High-Dimensional Data |
JMLR
2010
13 years 1 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
ICDE
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper, we propose the first formal privacy analysis of a data anonymization process known as the synthetic data generation, a technique becoming popular in the statistics c...
TKDE
2011
13 years 1 months ago
2011
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...