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» Correlated Data Inference
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96
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ICIP
2008
IEEE
15 years 7 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
109
Voted
NDSS
2007
IEEE
15 years 7 months ago
Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces
Encouraging the release of network data is central to promoting sound network research practices, though the publication of this data can leak sensitive information about the publ...
Scott E. Coull, Charles V. Wright, Fabian Monrose,...
82
Voted
PAMI
2008
153views more  PAMI 2008»
15 years 23 days ago
Correlation Metric for Generalized Feature Extraction
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
Yun Fu, Shuicheng Yan, Thomas S. Huang
98
Voted
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
15 years 6 months ago
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
Deborah R. Carvalho, Alex Alves Freitas, Nelson F....
110
Voted
ACSAC
2005
IEEE
15 years 6 months ago
Privacy-Preserving Alert Correlation: A Concept Hierarchy Based Approach
With the increasing security threats from infrastructure attacks such as worms and distributed denial of service attacks, it is clear that the cooperation among different organiza...
Dingbang Xu, Peng Ning