Prof. Dr. Daniel Keim
Contact
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Research Interests
Databases
Data Mining
Information Visualization
Visual Analytics
News
Mastering the Information Age - Solving Problems with Visual Analytics
The VisMaster book edited by Daniel Keim, Jörn Kohlhammer, Geoffrey Ellis and Florian Mansmann is now available in print form at Eurographics but you can also download the full book from here [25 MB, PDF].
Interactive Data Visualization
Visualization is the process of representing data, information, and knowledge in a visual form. This book covers the full spectrum of the field, including mathematical and analytic aspects, ranging from its foundations to human visual perception; from coded algorithms for different types of data, information and tasks to the design and evaluation of new visualization techniques. Read more here.
The 2011 Visualization Technical Achievement Award
The 2011 Visualization Technical Achievement Award goes to Daniel Keim, University of Konstanz, in recognition of his seminal technical work in high-dimensional data analysis and visualization of large data bases. His work has stimulated research in the new field of Visual Analytics. The IEEE VGTC is pleased to award Dr. Daniel Keim the 2011 Visualization Technical Achievement Award. Read more here.
Publications
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C. Rohrdantz, A. Niekler, A. Hautli, M. Butt and D. A. Keim. Lexical Semantics and Distribution of Suffixes - A Visual Analysis. Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH, 2012. |
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M. Krstajic, M. Najm-Araghi, F. Mansmann and D. A. Keim. Incremental Visual Text Analytics of News Story Development. Proceedings of Conference on Visualization and Data Analysis (VDA '12), 2012. |
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F. Mansmann, F. Fischer and D. A. Keim. Dynamic Visual Analytics - Facing the Real-Time Challenge. Expanding the Frontiers of Visual Analytics and Visualization, to appear, Springer, 2012. |
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F. Fischer, F. Mansmann and D. A. Keim. Real-Time Visual Analytics for Event Data Streams. Proceedings of the 2012 ACM Symposium on Applied Computing (SAC 2012), 2012. |
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S. Tekir, F. Mansmann and D. A. Keim. Geodesic Distances for Web Document Clustering. Proceedings of IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), 2011. |
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F. Wanner, T. Ramm and D. A. Keim. ForAVis - Explorative User Forum Analysis. Proceedings of the International Conference on Web Intelligence, Mining and Semantics, pages 14:1--14:10, 2011. |
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M. Schaefer, F. Wanner, R. Kahl, L. Zhang, T. Schreck and D. A. Keim. A Novel Explorative Visualization Tool for Financial Time Series Data Analysis. UKVAC Workshop on Visual Analytics, 2011. |
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D. Oelke, H. Janetzko, S. Simon, K. Neuhaus and D. A. Keim. Visual Boosting in Pixel-based Visualizations. Computer Graphics Forum, 30(3):871-880, 2011. |
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J. Kohlhammer, D. A. Keim, G. Santucci, G. Andrienko and M. Pohl. Solving Problems with Visual Analytics. 2011. |
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M. Krstajic, E. Bertini and D. A. Keim. CloudLines: Compact Display of Event Episodes in Multiple Time-Series. IEEE Transactions on Visualization and Computer Graphics, 17():2432-2439, 2011. |
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D. A. Keim and H.-P. Kriegel. Visualization Techniques for Mining Large Databases: A Comparison. to be reprinted in Cluster Analysis, 2011. |
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G. Heyer, D. A. Keim, S. Teresniak and D. Oelke. Interaktive explorative Suche in großen Dokumentbeständen. Datenbank-Spektrum, 11():195-206, 2011. |
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E. Bertini, A. Tatu and D. A. Keim. Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization. IEEE Symposium on Information Visualization (InfoVis), 2011. |
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S. Kisilevich, D. A. Keim, N. Andrienko and G. Andrienko. Towards acquisition of semantics of places and events by multi-perspective analysis of geotagged photo collections. 2011. |
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G. Andrienko, N. Andrienko, P. Bak, D. A. Keim, S. Kisilevich and S. Wrobel. A Conceptual Framework and Taxonomy of Techniques for Analyzing Movement. Journal of Visual Languages and Computing, 2011. |
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D. A. Keim, J. Kohlhammer, G. Ellis and F. Mansmann. Mastering The Information Age - Solving Problems with Visual Analytics. Eurographics, 2010. |
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M. O. Ward, G. Grinstein and D. A. Keim. Interactive Data Visualization: Foundations, Techniques, and Application. A. K. Peters, Ltd, 2010. |
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C. Rohrdantz, S. Koch, C. Jochim, G. Heyer, G. Scheuermann, T. Ertl, H. Schütze and D. A. Keim. Visuelle Textanalyse. Informatik-Spektrum., 33(6):601-611, 2010. |
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T. Mayer, C. Rohrdantz, M. Butt, F. Plank and D. A. Keim. Visualizing Vowel Harmony. Linguistic Issues in Language Technology, 4(Issue 2):1-33, 2010. |
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D. A. Keim, M. Krstajic, P. Bak, D. Oelke and F. Mansmann. Methods for Interactive Exploration of Large-Scale News Streams. Web Intelligence and Security, IOS Press, 2010. |
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M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko. Variable binned scatter plots. Information Visualization Journal (IVS), 9():194-203, 2010. |
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B. Bustos, T. Schreck, M. Walter, J. M. Barrios, M. Schaefer and D. A. Keim. Improving 3D Similarity Search by Enhancing and Combining 3D Descriptors. Multimedia Tools and Applications, 2010. |
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F. Wanner, C. Rohrdantz, F. Mansmann, A. Stoffel, D. Oelke, M. Krstajic, D. A. Keim, D. Luo, J. Yang and M. Atkinson. Large-scale Comparative Sentiment Analysis of News Articles (InfoVis 2009). 2009. |
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G. Robertson, D. Ebert, S. Eick, D. A. Keim and K. Joy. Scale and complexity in visual analytics. Information Visualization, 8(4):247--253, 2009. |
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H. Luo, J. Fan, D. A. Keim and S. Satoh. Personalized News Video Recommendation. Proceeding of the 16th ACM International Conference on Multimedia (MM '08), 2009. |
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D. A. Keim, M. C. Hao, U. Dayal, H. Janetzko and P. Bak. Generalized Scatter Plots. Information Visualization Journal (IVS), 2009. |
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H. Janetzko, F. Mansmann, P. Bak and D. A. Keim. Northern Lights Maps: Spatiotemporal Exploration of Mice Movement. EuroVis2009 (Poster), 2009. |
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D. A. Keim, P. Bak and M. Schaefer. Dense pixel displays. Encyclopedia of Database Systems, Springer-Verlag, pages 789-795, 2009. |
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M. C. Hao, U. Dayal, D. A. Keim, R. K. Sharma and A. Mehta. Visual Analytics of Anomaly Detection in Large Data Streams. Proceedings of the Visualization and Data Analysis Conference (VDA 2009), 2009. |
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P. Bak, F. Mansmann, H. Janetzko and D. A. Keim. Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps. IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(6):913-920, 2009. |
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D. A. Keim, A. Pras, J. Schönwälder, P. C. Wong and F. Mansmann. Visualization and Monitoring of Network Traffic. Report on the Dagstuhl Seminar 09211, 2009. |
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D. A. Keim, J. Kohlhammer, G. Santucci, F. Mansmann, F. Wanner and M. Schaefer. Visual Analytics Challenges. Proceedings of eChallenges 2009, 2009. |
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D. A. Keim, F. Mansmann, A. Stoffel and H. Ziegler. Visual Analytics. Encyclopedia of Database Systems, Springer, 2009. |
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D. A. Keim, F. Mansmann and J. Thomas. Visual Analytics: How Much Visualization and How Much Analytics?. SigKDD Explorations Journal, 11(2), 2009. |
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D. A. Keim, M. C. Hao and U. Dayal. Visual Analytics Techniques for Large Multi-Attribute Time Series Data. Proceedings of the Visualization and Data Analysis Conference (VDA '08), 2008. |
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D. A. Keim, B. Bustos, S. Berchtold and H.-P. Kriegel. X-tree. Encyclopedia of GIS, Springer, 2008. |
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M. C. Hao, D. A. Keim, U. Dayal, D. Oelke and C. Tremblay. Density Displays for Data Stream Monitoring. Computer Graphics Forum, 27(3):895--902, 2008. |
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P. Bak, D. A. Keim, M. Schaefer, A. Stoffel and I. Omer. Visual Analytics Using Density Equalizing Geographic Distortion. Geospatial Visual Analytics Workshop at Giscience, 2008. |
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D. A. Keim. Visual Analytics in Europe. NVAC Views, 2008. |
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D. A. Keim, F. Mansmann, J. Schneidewind, J. Thomas and H. Ziegler. Visual Analytics: Scope and Challenges. Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, 2008. |
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F. Mansmann, L. Meier and D. A. Keim. Visualization of Host Behavior for Network Security. Proceedings of the 4th Workshop on Visualization for Computer Security (VizSec 2007), 2008. |
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J. Thomas, D. A. Keim, J. Kielman and L. Rosenblum. Outlook for Visual Analytics Research Funding. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST), 2007. |
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D. A. Keim, D. Morent, J. Schneidewind, M. C. Hao and U. Dayal. Intelligent Visual Analytics Queries. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2007), 2007. |
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D. A. Keim and J. Thomas. Scope and Challenges of Visual Analytics. Tutorial at IEEE Visualization, 2007. |
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M. C. Hao, U. Dayal, D. A. Keim and T. Schreck. A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays. Proceedings of the Visualization and Data Analysis Conference (VDA '07), 2007. |
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D. A. Keim, M. C. Hao, U. Dayal and M. Lyons. Value-Cell Bar Charts for Visualizing Large Transaction Data Sets. IEEE Transactions on Visualization and Computer Graphics, 13(4), 2007. |
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D. A. Keim, G. Andrienko, J.-D. Fekete, C. Görg, J. Kohlhammer and G. Melancon. Visual Analytics: Definition, Process, and Challenges. Dagstuhl group report, 2007. |
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B. Bustos, D. A. Keim, D. Saupe and T. Schreck. Content-Based 3D Object Retrieval. IEEE Computer Graphics and Applications (CG&A), 27(4), 2007. |
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D. A. Keim and J. Schneidewind. Introduction to the Special Issue on Visual Analytics. SIGKDD Explorations Special Issue on Visual Analytics, 9(2), 2007. |
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F. Mansmann, F. Fischer, D. A. Keim and S. C. North. Visualizing large-scale IP traffic flows. Proceedings of 12th International Workshop Vision, Modeling, and Visualization (VMV 2007), 2007. |
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D. A. Keim, J. Schneidewind and M. Sips. Scalable Pixel Based Visual Data Exploration. Pixelization Paradigm, Springer, pages 12--24, 2007. |
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J. Schneidewind, M. Sips and D. A. Keim. An Automated Approach for the Optimization of Pixel Based Visualizations. Palgrave Macmillan Information Visualization, 6(1):75-88, 2007. |
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J. Meyer, J. Thomas, S. Diehl, B. Fisher, D. A. Keim, D. Laidlaw, S. Miksch, K. Mueller, W. Ribarsky, B. Preim and A. Ynnerman. From Visualization to Visually Enabled Reasoning. 2007. |
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J. Schneidewind, M. Sips and D. A. Keim. Pixnostics: Towards Measuring the Value of Visualization. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST '06), 2006. |
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D. A. Keim, F. Mansmann, J. Schneidewind and H. Ziegler. Challenges in Visual Data Analysis. Information Visualization (IV 2006), 2006. |
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T. Schreck, D. A. Keim and F. Mansmann. Regular TreeMap Layouts for Visual Analysis of Hierarchical Data. Proceedings of the Spring Conference on Computer Graphics (SCCG'2006), 2006. |
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M. Sips, J. Schneidewind and D. A. Keim. Scalable Pixel-based Visual Data Exploration. IEEE EMBS Visual Information Expert Workshop (VIEW 06), Paris, France, April 24-25, 2006. |
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D. A. Keim, J. Schneidewind, M. C. Hao and U. Dayal. Business Process Impact Visualization and Anomaly Detection. Palgrave Macmillan Information Visualization, 5(1), 2006. |
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M. Sips, J. Schneidewind, D. A. Keim and H. Schumann. Scalable Pixel-based Visual Interfaces: Challenges and Solutions. Information Visualization (IV 2006), 2006. |
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D. A. Keim, J. Schneidewind and M. Sips. FP-Viz: Visual Frequent Pattern Mining. Proceedings of IEEE Symposium on Information Visualization (InfoVis '05), Poster Paper, 2005. |
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M. C. Hao, D. A. Keim, U. Dayal and T. Schreck. Importance-Driven Visualization Layouts for Large Time Series Data. Proceedings of IEEE Symposium on Information Visualization (InfoVis '05), 2005. |
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U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright. VisImpact: business impact visualization. Proceedings of the Visualization and Data Analysis Conference (VDA '05), 2005. |
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U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright. Visual mining geo-related data using pixel bar charts. Proceedings of the Visualization and Data Analysis Conference (VDA '05), 2005. |
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic. Feature-based Similarity Search in 3D Object Databases. ACM Computing Surveys (CSUR), 37(4):345-387, 2005. |
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D. A. Keim, F. Mansmann and T. Schreck. MailSOM - Visual Exploration of Electronic Mail Archives Using Self-Organizing Maps. Proceedings of the 2nd Conference on Email and Anti-Spam (CEAS 2005), 2005. |
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D. A. Keim and J. Schneidewind. Scalable Visual Data Exploration of Large Data Sets via MultiResolution. JUCS Special Issue on Visual Data Mining, 11(11):1766-1779, 2005. |
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D. A. Keim, C. Panse and S. C. North. Medial-Axis-Based Cartograms. IEEE Computer Graphics and Applications, 25(3):pp. 60-68, 2005. |
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D. A. Keim, C. Panse and M. Sips. Information Visualization: Scope, Techniques and Opportunities for Geovisualization. Exploring Geovisualization, Oxford: Elsevier, 2004. |
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D. A. Keim and B. Bustos. Similarity Search in Multimedia Databases. Proceedings of the 20th International Conference on Data Engineering, pages 873--, 2004. |
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D. A. Keim and T. Schreck. Ähnlichkeitssuche durch Gestaltcharakterisierung auf 3D Datenbanken. DFG Workshop Verallgemeinerte Dokumente und Digitale Bibliotheken, Workshop Talk, 2004. |
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R. Heilmann, D. A. Keim, C. Panse and M. Sips. RecMap: Rectangular Map Approximations. Proceedings of IEEE Symposium on Information Visualization (InfoVis '04), 2004. |
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U. Dayal, M. C. Hao, D. A. Keim and J. Schneidewind. Visual Mining of Business Process Data. Proceedings of IEEE Symposium on Information Visualization (InfoVis '04), Poster Paper, 2004. |
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D. A. Keim and W. Lehner. Data Mining und Data Warehousing. Datenbank-Spektrum, 9():5, 2004. |
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D. A. Keim and N. Koudas. Introduction to special issue with best papers from KDD 2002. Information Systems, 29(4):271-272, 2004. |
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D. A. Keim, M. Heczko, A. Hinneburg and M. Wawryniuk:. Multi-Resolution Similarity Search in Image Databases. ACM/Springer Multimedia Systems Journal, 10(1):28-40, 2004. |
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U. Dayal, M. C. Hao and D. A. Keim. VizBiz: A Simplified Visualization of Business Operation, Poster-paper. VIS 2004, IEEE Symposium on Visualization, Austin, Texas, USA, 2004. |
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D. A. Keim, O. Deussen, C. D. Hansen and D. Saupe. VisSym 2004. Proceedings of the Symposium on Visualization, Konstanz, Germany, May 19-21, 2004. |
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D. A. Keim, T. Munzner and S. C. North. Guest Editor's Introduction: Special Section on InfoVis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(4):446, 2004. |
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A. Amir, R. Kashi, D. A. Keim, N. S. Netanyahu and M. Wawryniuk:. Shape-Embedded-Histograms for Visual Data Mining. VisSym, pages 55-64, 341, 2004. |
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D. A. Keim and T. Ertl. Wissenschaftliche Visualisierung. it - Information Technology, 46(3):109-110, 2004. |
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and D. A. Keim. Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte. it - Information Technology, 46(3):148-153, 2004. |
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D. A. Keim, S. C. North and C. Panse. CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(1):95-110, 2004. |
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D. A. Keim, S. C. North, C. Panse and M. Sips. Pixel based Visual Mining of Geo-Spatial Data. Computers & Graphics (CAG), 28(3):327-344, 2004. |
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D. A. Keim, S. C. North, C. Panse and M. Sips. Visual Data Mining in Large Geo-Spatial Point Sets. IEEE Computer Graphics and Applications (CG&A), Special Issue: Visual Analytics, 12(5):36-44, 2004. |
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D. A. Keim, M. Ankerst and M. Sips. Visual Data-Mining Techniques. Book Chapter in: Visualization Handbook by Johnson and Hanson, Kolam Publishing, pages 813-825, 2004. |
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D. A. Keim, M. Ankerst and M. Sips. Visual Data Mining Techniques. Visualization Handbook, Elsevier, pages 813-825, 2004. |
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D. A. Keim and T. Schreck. Methoden zur 3D Ähnlichkeitssuche -- Kombination von Feature-Vektoren. DFG Workshop Verallgemeinerte Dokumente und Digitale Bibliotheken, Workshop Talk, 2003. |
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A. Hinneburg, D. A. Keim, M. Wawryniuk:, A. Amir, R. Kashi and N. S. Netanyahu. Analyzing High-Dimensional Data by Subspace Validity. ICDM 2003, pages 473-476, 2003. |
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A. Hinneburg and D. A. Keim. Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art, Kluwer, pages 407-422, 2003. |
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A. Hinneburg, D. A. Keim and M. Wawryniuk:. Using Projections to Visually Cluster High--Dimensional Data. IEEE Computing in Science & Engineering, 5(2):14--25, 2003. |
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U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright. Geo Pixel Bar Charts, Poster-paper. VIS 2003, IEEE Visualization, Seattle, Washington, 2003. |
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D. A. Keim, S. C. North, C. Panse and J. Schneidewind. Visualizing Geographic Information: VisualPoints vs CartoDraw. Palgrave Macmillan -- Information Visualization, 2(1):58--67, 2003. |
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A. Hinneburg and D. A. Keim. A General Approach to Clustering in Large Databases with Noise. Knowledge and Information Systems (KAIS), 5(4):387-415, 2003. |
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D. J. Hand, D. A. Keim and R. T. Ng. Guest Editorial. Data Mining and Knowledge Discovery. Data Mining and Knowledge Discovery, 7(4):347-348, 2003. |
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D. J. Hand, D. A. Keim and R. T. Ng. Guest Editorial. Data Mining and Knowledge Discovery. Data Mining and Knowledge Discovery, 7(3):239-240, 2003. |
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A. Hinneburg, D. A. Keim and M. Wawryniuk:. HD-Eye: Visual Clustering of High--Dimensional Data. 19th International Conference on Data Engineering (ICDE 2003), pages 753--755, 2003. |
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D. A. Keim, C. Panse, M. Schaefer and M. Sips. HistoScale: An Efficient Approach for Computing Pseudo-Cartograms, Poster Paper. Vis 2003, IEEE Visualization Conference, Seattle, Washington, USA, 2003. |
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D. A. Keim, S. C. North, C. Panse and J. Schneidewind. Efficient Cartogram Generation: A Comparison. Proceedings of IEEE Symposium on Information Visualization (InfoVis '02), pages 33-36, 2002. |
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D. A. Keim. Datenvisualisierung und Data Mining. Datenbank-Spektrum, 2(2):30--39, 2002. |
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G. Grinstein, M. Ankerst and D. A. Keim. Visual Data Mining: Background, Techniques, and Drug Discovery Applications. Tutorial KDD 2002, 2002. |
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G. Grinstein, D. A. Keim and M. O. Ward. Information Visualization, Visual Data Mining, and Its Application to Drug Design. Tutorial Visualization 2002, 2002. |
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S. G. Eick and D. A. Keim. Visual Data Mining. KDD Workshop Report. SIGKDD Explorations, 3(2):70, 2002. |
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D. A. Keim. Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(1):1--8, 2002. |
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D. A. Keim and M. O. Ward. Visual Data Mining Techniques. Intelligent Data Analysis, an Introduction by D. Hand and M. Berthold, Springer, 2002. |
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D. A. Keim, M. C. Hao and U. Dayal. Hierarchical Pixel Bar Charts. IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(3):255--269, 2002. |
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D. A. Keim. Data Mining mit bloßem Auge. Spektrum der Wissenschaft, 2002. |
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D. A. Keim and M. Ankerst. Visual Data Mining and Exploration of Large Databases. Tutorial PKDD 2001, 2001. |
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C. Böhm, S. Berchtold and D. A. Keim. Searching in High--Dimensional Spaces: Index Structures for Improving the Performance of Multimedia Databases. ACM Computing Surveys, 33(3):322--373, 2001. |
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S. Berchtold, C. Böhm, D. A. Keim, F. Krebs and H.-P. Kriegel. On Optimizing Nearest Neighbor Queries in High--Dimensional Spaces. Proc. 8th Int. Conf. on Database Theory, pages 435--449, 2001. |
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S. Berchtold, C. Böhm and D. A. Keim. A Model for Optimizing Nearest Neighbor Queries in High-Dimensional Space. Proc. 8th Int. Conf. on Database Theory (ICDT), London, UK, 2001. |
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M. Heczko, D. A. Keim, D. Saupe and D. Vranic. Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Proc. Datenbanksysteme in Büro, Technik und Wissenschaft, Oldenburg, pages 384--401, 2001. |
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D. A. Keim. Visual Exploration of Large Data Sets. Communications of the ACM (CACM), 44(8):38--44, 2001. |
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C. C. Aggarwal, A. Hinneburg and D. A. Keim. On the Surprising Behavior of Distance Metric in High-Dimensional Space. Proc. 8th Int. Conf. on Database Theory, London, pages 420--434, 2001. |
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D. A. Keim. Visual Data Exploration. Tutorial Notes, 2000. |
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D. A. Keim. Information Visualization Techniques for Exploring Large Databases. Visual Databases, 2000. |
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D. A. Keim. An Introduction to Information Visualization Techniques for Exploring Large Databases. Tutorial Notes, 2000. |
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S. Berchtold and D. A. Keim. High-Dimensional Index Structures - Databases Support for Next Decade's Applications's, Tutorial at ICDE00. 2000. |
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A. Hinneburg, D. A. Keim and C. C. Aggarwal. What is the nearest neighbor in high dimensional spaces?. Proc. 26th Int. Conf. on Very Large Databases, Cairo, Egypt, 2000. |
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S. Berchtold, C. Böhm, D. A. Keim, H.-P. Kriegel and X. Xu. Optimal Multidimensional Query Processing Using Tree Striping. Lecture Notes in Computer Science, 1874(), 2000. |
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S. Conrad, G. Saake, K.-U. Sattler and D. A. Keim. Informationsfusion-Herausforderungen an die Datenbank- und Visualisierungstechnologie. Simulation und Visualisierung, Magdeburg, Germany, 2000. |
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D. A. Keim. Designing Pixel-oriented Visualization Techniques: Theory and Applications. IEEE Transactions on Visualization and Computer Graphics (TVCG), 6(1):59--78, 2000. |
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D. A. Keim and A. Hinneburg. Interesting KDD--News from SIGMOD'99. SIGKDD Explorations, 1(2):117, 2000. |
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D. A. Keim and A. Hinneburg. Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Record, 28(2), 1999. |
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D. A. Keim. Efficient Geometry--based Similarity Search of 3D Spatial Databases. Proc. ACM SIGMOD Int. Conf. on Management of Data, Philadelphia, PA, pages 419--430, 1999. |
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J. Abello, E. R. Gansner, D. A. Keim, E. Koutsofios, S. C. North and R. Truscott. Visualizing Large-Scale Telecommunication Networks and Services. Proc. AT&T Software Symposium, 1999. |
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D. A. Keim, E. Koutsofios, S. C. North and C. Ganssner. Visualization Techniques at Work in Large Scale Telecommunication Applications. Proc. Visualization'99, San Francisco, CA, pages 457--461, 1999. |
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D. A. Keim. Visual Mining of High-Dimensional Data. Euro-American Workshop on Visualization of Information and Data, Paris, 1999. |
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D. A. Keim. Visual Data Exploration. Simulation und Visualisierung '99, Magdeburg, Germany, pages 397-400, 1999. |
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A. Hinneburg, M. Wawryniuk: and D. A. Keim. HD-Eye: Visual Mining of High-Dimensional Data. IEEE Computer Graphics & Applications Journal, 19(5):22--31, 1999. |
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E. Koutsofios, D. A. Keim and S. C. North. Visualizing Large Telecommunication Data Sets. IEEE Computer Graphics & Applications Journal, 19(3):16--19, 1999. |
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D. A. Keim. Visual Database Exploration. 1998. |
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S. Berchtold and D. A. Keim. High--dimensional Index Structures -- Database Support for Next Decades's Applications. Tutorial at SIGMOD 1998, 1998. |
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D. A. Keim. Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. GI-Jahrestagung, Magdeburg, Germany, Lecture Notes, 1998. |
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D. A. Keim. Visual Techniques for Exploring Databases. Tutorial Slides KDD97, 1997. |
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D. A. Keim. Visual Data Mining. Tutorial Slides, 1997. |
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S. Berchtold, D. A. Keim and H.-P. Kriegel. Using Extended Feature Objects for Partial Similarity Retrieval. VLDB Journal, 6(4):333--348, 1997. |
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D. A. Keim and M. O. Ward. Screen Layout Methods for Multidimensional Visualization. Euro-American Workshop on Visualization of Information and Date, Paris, 1997. |
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D. A. Keim. Databases and Visualization. Tutorial at SIGMOD 1996, 1996. |
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D. A. Keim. Information Visualization. Tutorial Notes, Postgraduate Course, EPFL, 1996. |
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D. A. Keim. Pixel-oriented Visualization Techniques for Exploring Very Large Databases. Journal of Computational and Graphical Statistics, 5(1):58--77, 1996. |
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D. A. Keim and H.-P. Kriegel. Visualization Techniques for Mining Large Databases: A Comparison. Transactions on Knowledge and Data Engineering, pages 923--938, 1996. |
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D. A. Keim. Pixel-oriented Database Visualizations. SIGMOD Record, Special Issue on Information Visualization, 1996. |
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D. A. Keim. TestVis: A Test Data Generation Tool for Comparing Visual Database Exploration Techniques. Workshop on Foundations of Advanced Information on Visualization, Italy, 1996. |
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M. Ankerst, D. A. Keim and H.-P. Kriegel. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. Visualization '96, Hot Topic Session, San Francisco, CA, 1996. |
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D. A. Keim and H.-P. Kriegel. Visualisierung großer Datenbanken. Data Warehouse und Management Information Systeme, 1996. |
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S. Berchtold, D. A. Keim and H.-P. Kriegel. The X-Tree: An Index Structure for High--Dimensional Data. Proc. 22th Int. Conf. on Very Large Databases (VLDB'96), Bombay, India, pages 28--39, 1996. |
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M. Ankerst, D. A. Keim and H.-P. Kriegel. Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. Proc. Visualization '95, Atlanta, GA, pages 279--286, 1995. |
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D. A. Keim and H.-P. Kriegel. Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data. Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995. |
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D. A. Keim, R. D. Bergeron and R. M. Pickett. Test Data Sets for Evaluating Data Visualization Techniques. Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995. |
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D. A. Keim and H.-P. Kriegel. Issues in Visualizing Large Databases. Proc. Conf. on Visual Database Systems (VDB'95), Lausanne, Schweiz, März 1995, in: Visual Database Systems, pages 203--214, 1995. |
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D. A. Keim and H.-P. Kriegel. VisDB: Database Exploration using Multidimensional Visualization. IEEE Computer Graphics & Application Journal, 14(5):40--49, 1994. |
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D. A. Keim. Visual Support for Query Specification and Data Mining System. 1994. |
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D. A. Keim, H.-P. Kriegel and T. Seidl. Supporting Data Mining of Large Databases by Visual Feedback Queries. Proc. 10th Int. Conf. on Data Engineering, Houston, TX, pages 302--313, 1994. |
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D. A. Keim and H.-P. Kriegel. VisDB: A System for Visualizing Large Databases. System Demonstration Proc. ACM SIGMOD Int. Conf. on Managment of Data, San Jose, CA, pages 482, 1994. |
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D. A. Keim and H.-P. Kriegel. Visually Supporting Data Mining of Large Existing Databases. Lecture Notes in Computer Science, No. 871, pages 25--34, 1994. |
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D. A. Keim, H.-P. Kriegel and T. Seidl. Visual Feedback in Querying Large Databases. Proc. Visualization '93, San Jose, CA, pages 158--165, 1993. |
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V. Lum, D. A. Keim and K.-C. Kim. Intelligent Natural Language Processing for Media Data Query. Proc. Int. Golden West Conf. on Intelligent Systems, Reno, NV, pages 257--262, 1992. |
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D. A. Keim and V. Lum. Visual Query Specification in a Multimedia Database System. Proc. Visualization '92, Boston, MA, pages 194--201, 1992. |
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D. A. Keim and E. S. Prawirohardjo. Datenbankmaschinen: Performanz durch Parallelität. B.I. Wissenschaftsverlag, 1992. |
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