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» Watermarking relational data: framework, algorithms and anal...
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SIGMOD
2006
ACM
194views Database» more  SIGMOD 2006»
15 years 11 months ago
Graph-based synopses for relational selectivity estimation
This paper introduces the Tuple Graph (TuG) synopses, a new class of data summaries that enable accurate selectivity estimates for complex relational queries. The proposed summari...
Joshua Spiegel, Neoklis Polyzotis
APWEB
2005
Springer
15 years 4 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
CORR
2007
Springer
151views Education» more  CORR 2007»
14 years 11 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
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SSPR
2004
Springer
15 years 4 months ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini
ICASSP
2008
IEEE
15 years 5 months ago
A pattern classification framework for theoretical analysis of component forensics
Component forensics is an emerging methodology for forensic analysis that aims at estimating the algorithms and parameters in each component of a digital device. This paper propos...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu