Author: Daniel A. Keim

Publication Overview

Publication period start: 2007
Number of co-authors: 46

Co-Authors

Number of publications with favourite co-authors

Mike Sips
8
Christian Panse
9
Jorn Schneidewind
10

Productive Colleagues

Most productive colleagues in number of publications

Robert Spence
31
Charles D. Hansen
34
David S. Ebert
42

Publications

Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar, Oelke, Daniela, Tremblay, Chantal (2008): Density Displays for Data Stream Monitoring. In Comput. Graph. Forum, 27 (3) pp. 895-902. https://dx.doi.org/10.1111/j.1467-8659.2008.01222.x
Ziegler, Hartmut, Keim, Daniel A. (2008): COPERNICUS: Context-Preserving Engine for Route Navigation with Interactive User-modifiabl. In Comput. Graph. Forum, 27 (3) pp. 927-934. https://dx.doi.org/10.1111/j.1467-8659.2008.01226.x
Schneidewind, Jorn, Sips, Mike, Keim, Daniel A. (2007): An automated approach for the optimization of pixel-based visualizations. In Information Visualization, 6 (1) pp. 75-88. https://www.palgrave-journals.com/ivs/journal/v6/n1/abs/9500150a.html
Bustos, Benjamin, Keim, Daniel A., Saupe, Dietmar, Schreck, Tobias (2007): Content-Based 3D Object Retrieval. In IEEE Computer Graphics and Applications, 27 (4) pp. 22-27. https://doi.ieeecomputersociety.org/10.1109/MCG.2007.80
Kohlhammer, Jorn, Keim, Daniel A., Ebert, David S. (2007): Introduction. In Computers & Graphics, 31 (3) pp. 314-315. https://dx.doi.org/10.1016/j.cag.2007.02.002
Keim, Daniel A., Panse, Christian, North, Stephen C. (2005): Medial-Axis-Based Cartograms. In IEEE Computer Graphics and Applications, 25 (3) pp. 60-68. https://doi.ieeecomputersociety.org/10.1109/MCG.2005.64
Keim, Daniel A., Panse, Christian, Sips, Mike, North, Stephen C. (2004): Visual Data Mining in Large Geospatial Point Sets. In IEEE Computer Graphics and Applications, 24 (5) pp. 36-44. https://doi.ieeecomputersociety.org/10.1109/MCG.2004.41
Keim, Daniel A., Panse, Christian, Sips, Mike, North, Stephen C. (2004): Pixel based visual data mining of geo-spatial data. In Computers & Graphics, 28 (3) pp. 327-344. https://dx.doi.org/10.1016/j.cag.2004.03.022
Keim, Daniel A. (2001): Visual exploration of large data sets. In Communications of the ACM, 44 (8) pp. 38-44. https://dl.acm.org/doi/10.1145/381641.381656
Koutsofios, Eleftherios, North, Stephen C., Keim, Daniel A. (1999): Visualizing Large Telecommunication Data Sets. In IEEE Computer Graphics and Applications, 19 (3) pp. 16-19. https://doi.ieeecomputersociety.org/10.1109/38.761543
Hinneburg, Alexander, Keim, Daniel A., Wawryniuk, Markus (1999): HD-Eye: Visual Mining of High-Dimensional Data. In IEEE Computer Graphics and Applications, 19 (5) pp. 22-31. https://doi.ieeecomputersociety.org/10.1109/38.788795
Fischer, Fabian, Mansmann, Florian, Keim, Daniel A., Pietzko, Stephan, Waldvogel, Marcel (2008): Large-Scale Network Monitoring for Visual Analysis of Attacks. In: Goodall, John R., Conti, Gregory J., Ma, Kwan-Liu (eds.) VizSec 2008 - Visualization for Computer Security, 5th International Workshop September 15, 2008, Cambridge, MA, USA. pp. 111-118. https://dx.doi.org/10.1007/978-3-540-85933-8_11
Bustos, Benjamin, Keim, Daniel A., Panse, Christian, Schreck, Tobias (2004): 2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. In: VIS 2004 - 15th IEEE Visualization 2004 Conference 10-15 October, 2004, Austin, TX, USA. pp. 2. https://csdl.computer.org/comp/proceedings/vis/2004/8788/00/87880002pabs.htm
Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar (2004): VisBiz: A Simplified Visualization of Business Operation. In: VIS 2004 - 15th IEEE Visualization 2004 Conference 10-15 October, 2004, Austin, TX, USA. pp. 1. https://csdl.computer.org/comp/proceedings/vis/2004/8788/00/87880001pabs.htm
Keim, Daniel A., Ankerst, Mihael, Kriegel, Hans-Peter (1995): Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. In: IEEE Visualization 1995 , 1995, . pp. 279-. https://csdl.computer.org/comp/proceedings/vis/1995/7187/00/71870279abs.htm
Keim, Daniel A., Herrmann, Annemarie (1998): The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of. In: IEEE Visualization 1998 , 1998, . pp. 181-188. https://doi.acm.org/10.1145/288216.288245
Keim, Daniel A., Kriegel, Hans-Peter, Seidl, Thomas (1993): Visual Feedback in Querying Large Databases. In: Nielson, Gregory M., Bergeron, R. Daniel (eds.) Proceedings IEEE Visualization 93 , 1993, . pp. 158-165.
Keim, Daniel A., Lum, Vincent Y. (1992): Visual Query Specification in a Multimedia Database System. In: Kaufman, Arie E., Nielson, Gregory M. (eds.) Proceedings IEEE Visualization 92 , 1992, . pp. 194-201.
Koutsofios, Eleftherios, North, Stephen C., Truscott, Russell, Keim, Daniel A. (1999): Visualizing Large-Scale Telecommunication Networks and Services. In: IEEE Visualization 1999 , 1999, . pp. 457-461.
Keim, Daniel A., Mansmann, Florian, Schneidewind, Jorn, Ziegler, Hartmut (2006): Challenges in Visual Data Analysis. In: IV 2006 - 10th International Conference on Information Visualisation 5-7 July, 2006, London, UK. pp. 9-16. https://doi.ieeecomputersociety.org/10.1109/IV.2006.31
Ziegler, Hartmut, Nietzschmann, Tilo, Keim, Daniel A. (2007): Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using . In: IV 2007 - 11th International Conference on Information Visualisation 2-6 July, 2007, Zürich, Switzerland. pp. 308-315. https://doi.ieeecomputersociety.org/10.1109/IV.2007.124
Ziegler, Hartmut, Nietzschmann, Tilo, Keim, Daniel A. (2008): Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term. In: IV 2008 - 12th International Conference on Information Visualisation 8-11 July, 2008, London, UK. pp. 287-295. https://dx.doi.org/10.1109/IV.2008.80
Luo, Hangzai, Fan, Jianping, Keim, Daniel A. (2008): Personalized news video recommendation. In: El-Saddik, Abdulmotaleb, Vuong, Son, Griwodz, Carsten, Bimbo, Alberto Del, Candan, K. Selcuk, Jaimes, Alejandro (eds.) Proceedings of the 16th International Conference on Multimedia 2008 October 26-31, 2008, Vancouver, British Columbia, Canada. pp. 1001-1002. https://doi.acm.org/10.1145/1459359.1459549
Keim, Daniel A., Schneidewind, Jorn, Sips, Mike (2004): CircleView: a new approach for visualizing time-related multidimensional data sets. In: Costabile, Maria Francesca (eds.) AVI 2004 - Proceedings of the working conference on Advanced visual interfaces May 25-28, 2004, Gallipoli, Italy. pp. 179-182. https://doi.acm.org/10.1145/989863.989891
Merino, Carmen Sanz, Sips, Mike, Keim, Daniel A., Panse, Christian, Spence, Robert (2006): Task-at-hand interface for change detection in stock market data. In: Celentano, Augusto (eds.) AVI 2006 - Proceedings of the working conference on Advanced visual interfaces May 23-26, 2006, Venezia, Italy. pp. 420-427. https://doi.acm.org/10.1145/1133265.1133350
Ankerst, Mihael, Berchtold, Stefan, Keim, Daniel A. (1998): Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. In: InfoVis 1998 - IEEE Symposium on Information Visualization 19-20 October, 1998, Research Triangle Park, NC, USA. pp. 52-. https://csdl.computer.org/comp/proceedings/infovis/1998/9093/00/90930052abs.htm
Hao, Ming C., Dayal, Umeshwar, Keim, Daniel A., Schreck, Tobias (2005): Importance-Driven Visualization Layouts for Large Time Series Data. In: InfoVis 2005 - IEEE Symposium on Information Visualization 23-25 October, 2005, Minneapolis, MN, USA. pp. 27. https://doi.ieeecomputersociety.org/10.1109/INFOVIS.2005.20
Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar, Schneidewind, Jorn (2004): Interactive Poster: Visual Mining of Business Process Data. In: InfoVis 2004 - 10th IEEE Symposium on Information Visualization 10-12 October, 2004, Austin, TX, USA. https://csdl.computer.org/comp/proceedings/infovis/2004/8779/00/8779p10abs.htm
Heilmann, Roland, Keim, Daniel A., Panse, Christian, Sips, Mike (2004): RecMap: Rectangular Map Approximations. In: InfoVis 2004 - 10th IEEE Symposium on Information Visualization 10-12 October, 2004, Austin, TX, USA. pp. 33-40. https://doi.ieeecomputersociety.org/10.1109/INFOVIS.2004.57
Keim, Daniel A., Barro, Helmut, Panse, Christian, Schneidewind, Jorn, Sips, Mike (2004): Exploring and Visualizing the History of InfoVis. In: InfoVis 2004 - 10th IEEE Symposium on Information Visualization 10-12 October, 2004, Austin, TX, USA. https://csdl.computer.org/comp/proceedings/infovis/2004/8779/00/8779r6abs.htm
Keim, Daniel A., Hao, Ming C., Ladisch, Julian, Hsu, Meichun, Dayal, Umeshwar (2001): Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without . In: InfoVis 2001 , 2001, . pp. 113-. https://csdl.computer.org/comp/proceedings/infovis/2001/1342/00/13420113abs.htm
Keim, Daniel A., North, Stephen C., Panse, Christian, Schneidewind, Jorn (2002): Efficient Cartogram Generation: A Comparison. In: InfoVis 2002 - 2002 IEEE Symposium on Information Visualization 27 October - 1 November, 2002, Boston, MA, USA. pp. 33-36. https://csdl.computer.org/comp/proceedings/infovis/2002/1751/00/17510033abs.htm
Ziegler, Hartmut, Nietzschmann, Tilo, Keim, Daniel A. (2007): Relevance Driven Visualization of Financial Performance Measures. In: Museth, Ken, Moller, Torsten, Ynnerman, Anders (eds.) EuroVis07 Joint Eurographics - IEEE VGTC Symposium on Visualization 23-25 May, 2007, Norrköping, Sweden. pp. 19-26. https://dx.doi.org/10.2312/VisSym/EuroVis07/019-026
Hao, Ming C., Dayal, Umeshwar, Keim, Daniel A., Schreck, Tobias (2007): Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. In: Museth, Ken, Moller, Torsten, Ynnerman, Anders (eds.) EuroVis07 Joint Eurographics - IEEE VGTC Symposium on Visualization 23-25 May, 2007, Norrköping, Sweden. pp. 27-34. https://dx.doi.org/10.2312/VisSym/EuroVis07/027-034
Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar, Schneidewind, Jorn (2005): VisBiz: A Business Process Visualization Case Study. In: Brodlie, Ken, Duke, David J., Joy, Kenneth I. (eds.) EuroVis05 Joint Eurographics - IEEE VGTC Symposium on Visualization 1-3 June, 2005, Leeds, United Kingdom. pp. 109-116. https://dx.doi.org/10.2312/VisSym/EuroVis05/109-116
Keim, Daniel A., Mansmann, Florian, Panse, Christian, Schneidewind, Jorn, Sips, Mike (2005): Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. In: Brodlie, Ken, Duke, David J., Joy, Kenneth I. (eds.) EuroVis05 Joint Eurographics - IEEE VGTC Symposium on Visualization 1-3 June, 2005, Leeds, United Kingdom. pp. 247-254. https://dx.doi.org/10.2312/VisSym/EuroVis05/247-254
Keim, Daniel A., Nietzschmann, Tilo, Schelwies, Norman, Schneidewind, Jorn, Schreck, Tobias, Ziegler, Hartmut (2006): A Spectral Visualization System for Analyzing Financial Time Series Data. In: Santos, Beatriz Sousa, Ertl, Thomas, Joy, Kenneth I. (eds.) EuroVis06 Joint Eurographics - IEEE VGTC Symposium on Visualization 8-10 May, 2006, Lisbon, Portugal. pp. 195-202. https://dx.doi.org/10.2312/VisSym/EuroVis06/195-202
Deussen, Oliver, Hansen, Charles D., Keim, Daniel A., Saupe, Dietmar (eds.) VisSym 2004 - Symposium on Visualization May 19-21, 2004, Konstanz, Germany.
Amir, Amihood, Kashi, Reuven, Keim, Daniel A., Netanyahu, Nathan S., Wawryniuk, Markus (2004): Shape-Embedded-Histograms for Visual Data Mining. In: Deussen, Oliver, Hansen, Charles D., Keim, Daniel A., Saupe, Dietmar (eds.) VisSym 2004 - Symposium on Visualization May 19-21, 2004, Konstanz, Germany. pp. 55-64,341.
Schreck, Tobias, Schneidewind, Jorn, Keim, Daniel A. (2008): An Image-Based Approach to Visual Feature Space Analysis. In: 16. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision , 2008, Plzen, Czech Republic,.
Keim, Daniel A., Bak, Peter, Bertini, Enrico, Oelke, Daniela, Spretke, David, Ziegler, Hartmut (2010): Advanced visual analytics interfaces. In: Proceedings of the 2010 International Conference on Advanced Visual Interfaces , 2010, . pp. 3-10. https://doi.acm.org/10.1145/1842993.1842995
Mansmann, Florian, Fischer, Fabian, Keim, Daniel A., North, Stephen C. (2009): Visual support for analyzing network traffic and intrusion detection events using TreeMap . In: Proceedings of the 2009 Symposium on Computer Human Interaction for the Management of Information Technology , 2009, . pp. 3. https://dx.doi.org/10.1145/1641587.1641590
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