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CSDA
2004
105views more  CSDA 2004»
15 years 4 months ago
Computational aspects of algorithms for variable selection in the context of principal components
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several...
Jorge Cadima, J. Orestes Cerdeira, Manuel Minhoto
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 4 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
HICSS
1997
IEEE
75views Biometrics» more  HICSS 1997»
15 years 8 months ago
The Voting-Type Technique in the Refinement of Multiple Expert Knowledge
The goal of this paper is to develop methods to handle inconsistent knowledge elicited from multiple sources. Knowledge is represented using predicates that define relationships w...
Seppo Puuronen, Vagan Y. Terziyan
LWA
2008
15 years 5 months ago
A Comparison of Techniques for Selecting and Combining Class Association Rules
Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained a...
Jan-Nikolas Sulzmann, Johannes Fürnkranz
UAI
1990
15 years 5 months ago
separable and transitive graphoids
We examine the notion of "unrelatedness" in a probabilistic framework. Three formulations are presented. In the first formulation, two variables a and b are totally inde...
Dan Geiger, David Heckerman