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Svetoslav Nikolow, Bulgaria (in cooperation with WELISA)
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Michael Kalkusch, Vienna, AT
| What | Invited talk |
|---|---|
| When |
2009-10-30 from 13:15 to 14:45 |
| Where | A.-Einstein-Str. 21, R.023 (old library) |
| Contact Name | Dr. Michael Kalkusch |
| Contact Phone | +43 2243 3828044 |
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Pushing the limits of visual analytics to move the GeneView-project to the next level
Abstract:
Visual analytics claims to build the next level of information
visualization and scientific visualization. In fact, currently its main
contribution is to provide a toolbox of several views like (1) 2D views,
(2) 2 1/2D views, (3) 3D views, (4) GIS data related 2D and 3D views,
(5) graph based views, (6) text based views, (7) parallel coordinate
views and (8) non-photorealistic rendering (NPR) views to name some of
the common views. Also traditional visualizations from statistics are
used like histograms, box plots, and heat-maps. Visual analytics
implementations also rely on algorithms from machine learning, pattern
recognition, and data mining.
The shared data model used in most cases is based on the
model-view-controller (MVC) design pattern, which is a rather rigid and
static one. This talk will introduce ways to build a new dynamic data
model and thus extend the common MVC design pattern to a “Dynamic-MVC”
(DMVC) design pattern. Also examples from two distinguished application
areas will be presented to show the strength of the proposed DMVC design
pattern.
Paper on rule-based multi-level modeling under top 3 of most viewed articles in BMC Systems Biology