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» Privacy in Data Mining Using Formal Methods
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126
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ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 9 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
148
Voted
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 5 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
DIS
2001
Springer
15 years 7 months ago
Computational Discovery of Communicable Knowledge: Symposium Report
Abstract. The Symposium on Computational Discovery of Communicable Knowledge was held from March 24 to 25, 2001, at Stanford University. Fifteen speakers reviewed recent advances i...
Saso Dzeroski, Pat Langley
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 3 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
SP
1997
IEEE
112views Security Privacy» more  SP 1997»
15 years 6 months ago
Analyzing Consistency of Security Policies
This paper discusses the development of a methodology for reasoning about properties of security policies. We view a security policy as a special case of regulation which specifi...
Laurence Cholvy, Frédéric Cuppens