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DAGSTUHL
2009
15 years 7 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
DBSK
2010
132views more  DBSK 2010»
15 years 6 months ago
A Database Perspective on Consuming Linked Data on the Web
During recent years an increasing number of data providers adopted the Linked Data principles for publishing and connecting structured data on the Web, thus creating a globally dis...
Olaf Hartig, Andreas Langegger
BMCBI
2008
104views more  BMCBI 2008»
15 years 6 months ago
Analyzing the simplicial decomposition of spatial protein structures
Background: The fast growing Protein Data Bank contains the three-dimensional description of more than 45000 protein- and nucleic-acid structures today. The large majority of the ...
Rafael Ördög, Zoltan Szabadka, Vince Gro...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
16 years 24 days ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
JODS
2007
102views Data Mining» more  JODS 2007»
15 years 6 months ago
Default Clustering with Conceptual Structures
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
Julien Velcin, Jean-Gabriel Ganascia