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» Physical modeling of data warehouses using UML
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AI
2011
Springer
13 years 4 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
CMSB
2003
Springer
14 years 2 months ago
An Overview of Data Models for the Analysis of Biochemical Pathways
Biochemical pathways such as metabolic, regulatory or signal tranduction pathways can be viewed as interconnected processes forming an intricate network of functional and physical...
Yves Deville, David Gilbert, Jacques van Helden, S...
PG
2007
IEEE
14 years 3 months ago
Papercraft Models using Generalized Cylinders
We introduce an algorithm for approximating a 2manifold 3D mesh by a set of developable surfaces. Each developable surface is a generalized cylinder represented as a strip of tria...
Fady Massarwi, Craig Gotsman, Gershon Elber
DAGSTUHL
2007
13 years 10 months ago
An analytic solution to the alibi query in the bead model for moving object data
Abstract. Moving objects produce trajectories, which are stored in databases by means of finite samples of time-stamped locations. When also speed limitations in these sample poin...
Bart Kuijpers, Walied Othman
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 3 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa