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» Visual Analytics: Combining Automated Discovery with Interac...
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IV
2006
IEEE
149views Visualization» more  IV 2006»
14 years 1 months ago
Challenges in Visual Data Analysis
In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increa...
Daniel A. Keim, Florian Mansmann, Jörn Schnei...
APCHI
2004
IEEE
13 years 11 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
BIBE
2006
IEEE
112views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration
The analysis of alignments of functionally equivalent proteins can reveal regularities such as correlated positions or residue patterns which are important to ensure a specific f...
Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus...
AVI
2008
13 years 10 months ago
Realizing the hidden: interactive visualization and analysis of large volumes of structured data
An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, community driven efforts recently have build ontological repositories made of...
Olaf Noppens, Thorsten Liebig
IVS
2007
110views more  IVS 2007»
13 years 7 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim