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» Clustering Genes Using Heterogeneous Data Sources
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CISIS
2009
IEEE
15 years 10 months ago
SAMOA - A Semi-Automated Ontology Alignment Method for Systems Integration in Safety-Critical Environments
The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...
SAC
2006
ACM
15 years 9 months ago
Ontology-based integration for relational databases
In this paper, we show that representation and reasoning techniques used in traditional knowledge engineering and the emerging Semantic Web can play an important role for heteroge...
Dejing Dou, Paea LePendu
139
Voted
NIPS
2003
15 years 4 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
EDBTW
2010
Springer
15 years 1 months ago
Using web-based personalization on spatial data warehouses
Spatial data warehouses (SDW) rely on extended multidimensional (MD) models in order to provide decision makers with appropriate structures to intuitively analyse spatial data. Se...
Octavio Glorio, Jose-Norberto Mazón, Irene ...
APLAS
2005
ACM
15 years 9 months ago
Transformation to Dynamic Single Assignment Using a Simple Data Flow Analysis
This paper presents a novel method to construct a dynamic single assignment (DSA) form of array-intensive, pointer-free C programs (or in any other procedural language). A program ...
Peter Vanbroekhoven, Gerda Janssens, Maurice Bruyn...