DOI TimeScale for Medical Histories

Problem: 

Sparsely populated datasets are challenging to visualize because periods of a high level of activity might be followed by long periods of no data. To complement this, a DOI (degree-of-interest) technique should be applied that represents time not linearly but depending on the data density. Such a DOI functionality should be designed and implemented for time and its granularities.

Aim: 

Design and prototypical implementation of the FacetZoom technique using an existing framework for interactive visualization of time-oriented data that is based on prefuse

Other information: 

[Sarkar and Brown, 1993] Sarkar Manojit, Brown H. Marc, Graphical fisheye views, Communications of the ACM 37 (12) (1994) 73 - 83, http://portal.acm.org/citation.cfm?coll=GUIDE&dl=GUIDE&id=198384, last visit: 24th of April 2006.

 

Information about prefuse:

InfoVis:Wiki

http://www.infovis-wiki.net/index.php?title=Prefuse

For beginners:
• Explore the demos in the online gallery http://www.prefuse.org/gallery/
• Download the toolkit www.prefuse.org
• Have a overview on the Prefuse classes
• Run the demos that come with Prefuse download.
• Read the user's manual: http://www.prefuse.org/doc/manual/ especially the introduction.
• Read and try out tutorials: 
http://www.ifs.tuwien.ac.at/~rind/w/doku.php/java/prefuse-scatterplot
http://www.infovis-wiki.net/images/d/d7/Prefuse-tutorial-20061127-handout.pdf
http://www.cs.mun.ca/~hoeber/teaching/cs4767/notes/04-prefuse/

Die Javadoc API Documentation: 
http://prefuse.org/doc/api/

Previous knowledge: 
Java (preferably Swing, Java2D, prefuse Toolkit)
Scope: 
SE
Scope: 
BA
Scope: 
PR
Scope: 
MA
Assigned as: 
Master thesis/Diplomarbeit
Contact: 
Wolfgang Aigner, by appointment, aigner [at] ifs.tuwien.ac.at
Area: 
Information Visualization (IV)
Status: 
open