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» Vulnerability Analysis of High Dimensional Complex Systems
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ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 8 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
MASCOTS
2008
13 years 8 months ago
Finding Good Configurations in High-Dimensional Spaces: Doing More with Less
Manually tuning tens to hundreds of configuration parameters in a complex software system like a database or an application server is an arduous task. Recent work has looked into ...
Risi Thonangi, Vamsidhar Thummala, Shivnath Babu
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
14 years 7 months ago
Outlier Detection for High Dimensional Data
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
Charu C. Aggarwal, Philip S. Yu
ICDE
2002
IEEE
164views Database» more  ICDE 2002»
14 years 8 months ago
Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...
Charu C. Aggarwal
ICIP
2010
IEEE
13 years 5 months ago
Image analysis with regularized Laplacian eigenmaps
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
Frank Tompkins, Patrick J. Wolfe