Daniela Oelke

Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim: Visual Readability Analysis: How to Make Your Writings Easier to Read. IEEE Trans. Vis. Comput. Graph. 18(5): 662-674 (2012)

Daniela Oelke, Halldor Janetzko, Svenja Simon, Klaus Neuhaus, Daniel A. Keim: Visual Boosting in Pixel-based Visualizations. Comput. Graph. Forum 30(3): 871-880 (2011)

Gerhard Heyer, Daniel A. Keim, Sven Teresniak, Daniela Oelke: Interaktive explorative Suche in großen Dokumentbeständen. Datenbank-Spektrum 11(3): 195-206 (2011)

Svenja Simon, Daniela Oelke, Richard Landstorfer, Klaus Neuhaus, Daniel A. Keim: Visual analysis of next-generation sequencing data to detect overlapping genes in bacterial genomes. BioVis 2011: 47-54

Daniela Oelke: Visual document analysis: towards a semantic analysis of large document collections. University of Konstanz 2010

Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela Oelke, David Spretke, Hartmut Ziegler: Advanced visual analytics interfaces. AVI 2010: 3-10

Klaus Neuhaus, Daniela Oelke, David Fürst, Siegfried Scherer, Daniel A. Keim: Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes. EvoBIO 2010: 228-239

Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim: Visual readability analysis: How to make your writings easier to read. IEEE VAST 2010: 123-130

Milos Krstajic, Peter Bak, Daniela Oelke, Daniel A. Keim, Martin Atkinson, William Ribarsky: Applied Visual Exploration on Real-time News Feeds using Polarity and Geo-spatial Analysis. WEBIST (1) 2010: 263-268

Daniel A. Keim, Milos Krstajic, Peter Bak, Daniela Oelke, Florian Mansmann: Methods for Interactive Exploration of Large-Scale News Streams. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010: 139-154

Hendrik Strobelt, Daniela Oelke, Christian Rohrdantz, Andreas Stoffel, Daniel A. Keim, Oliver Deussen: Document Cards: A Top Trumps Visualization for Documents. IEEE Trans. Vis. Comput. Graph. 15(6): 1145-1152 (2009)

Daniela Oelke, Ming C. Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko: Visual opinion analysis of customer feedback data. IEEE VAST 2009: 187-194

Daniel A. Keim, Daniela Oelke, Christian Rohrdantz: Analyzing Document Collections via Context-Aware Term Extraction. NLDB 2009: 154-168

Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Daniela Oelke, Chantal Tremblay: Density Displays for Data Stream Monitoring. Comput. Graph. Forum 27(3): 895-902 (2008)

Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler: Visual Analytics: Combining Automated Discovery with Interactive Visualizations. ALT 2008: 2

Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler: Visual Analytics: Combining Automated Discovery with Interactive Visualizations. Discovery Science 2008: 2-14

Daniela Oelke, Peter Bak, Daniel A. Keim, Mark Last, Guy Danon: Visual evaluation of text features for document summarization and analysis. IEEE VAST 2008: 75-82

Daniel A. Keim, Daniela Oelke: Literature Fingerprinting: A New Method for Visual Literary Analysis. IEEE VAST 2007: 115-122

Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus: Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. BIBE 2006: 183-192

Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus: Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. LWA 2006: 322-329