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Daniel A. Keim
2010 – today
- 2013
[j90]Daniel A. Keim, Huamin Qu, Kwan-Liu Ma: Big-Data Visualization. IEEE Computer Graphics and Applications 33(4): 20-21 (2013)- [j89]Daniela Oelke, Dimitrios Kokkinakis, Daniel A. Keim: Fingerprint Matrices: Uncovering the dynamics of social networks in prose literature. Comput. Graph. Forum 32(3): 371-380 (2013)
- [j88]Tobias Schreck, Daniel A. Keim: Visual Analysis of Social Media Data. IEEE Computer 46(5): 68-75 (2013)
- [j87]Daniel A. Keim, Milos Krstajic, Christian Rohrdantz, Tobias Schreck: Real-Time Visual Analytics for Text Streams. IEEE Computer 46(7): 47-55 (2013)
- [j86]Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon: Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. 27(1): 1-3 (2013)
- [j85]Slava Kisilevich, Daniel A. Keim, Lior Rokach: A GIS-based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context. Decision Support Systems 54(2): 1119-1133 (2013)
- [j84]Slava Kisilevich, Christian Rohrdantz, Veronica Maidel, Daniel A. Keim: What do you think about this photo? A novel approach to opinion and sentiment analysis of photo comments. IJDMMM 5(2): 138-157 (2013)
- [j83]Ming C. Hao, Christian Rohrdantz, Halldor Janetzko, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Meichun Hsu, Florian Stoffel: Visual sentiment analysis of customer feedback streams using geo-temporal term associations. Information Visualization 12(3-4): 273-290 (2013)
- [j82]Milos Krstajic, Mohammad Najm-Araghi, Florian Mansmann, Daniel A. Keim: Story Tracker: Incremental visual text analytics of news story development. Information Visualization 12(3-4): 308-323 (2013)
- [c157]Daniel A. Keim: Solving Problems with Visual Analytics: The Role of Visualization and Analytics in Exploring Big Data. BTW 2013: 17-18
- [c156]Halldor Janetzko, Ming C. Hao, Sebastian Mittelstädt, Umeshwar Dayal, Daniel A. Keim: Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading. HICSS 2013: 1522-1531
- 2012
- [j81]Christian Rohrdantz, Michael Hund, Thomas Mayer, Bernhard Wälchli, Daniel A. Keim: The World's Languages Explorer: Visual Analysis of Language Features in Genealogical and Areal Contexts. Comput. Graph. Forum 31(3): 935-944 (2012)
- [j80]Hendrik Strobelt, Marc Spicker, Andreas Stoffel, Daniel A. Keim, Oliver Deussen: Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives. Comput. Graph. Forum 31(3): 1135-1144 (2012)
- [j79]Andreas Stoffel, Hendrik Strobelt, Oliver Deussen, Daniel A. Keim: Document Thumbnails with Variable Text Scaling. Comput. Graph. Forum 31(3): 1165-1173 (2012)
- [j78]Ming C. Hao, Manish Marwah, Halldór Janetzko, Umeshwar Dayal, Daniel A. Keim, Debprakash Patnaik, Naren Ramakrishnan, Ratnesh K. Sharma: Visual exploration of frequent patterns in multivariate time series. Information Visualization 11(1): 71-83 (2012)
- [j77]Daniel A. Keim, Leishi Zhang, Milos Krstajic, Svenja Simon: Solving Problems with Visual Analytics: Challenges and Applications. JMPT 3(1): 1-11 (2012)
- [j76]Benjamin Bustos, Tobias Schreck, Michael Walter, Juan Manuel Barrios, Matthias Schaefer, Daniel A. Keim: Improving 3D similarity search by enhancing and combining 3D descriptors. Multimedia Tools Appl. 58(1): 81-108 (2012)
- [j75]Christian Rohrdantz, Ming C. Hao, Umeshwar Dayal, Lars-Erik Haug, Daniel A. Keim: Feature-Based Visual Sentiment Analysis of Text Document Streams. ACM TIST 3(2): 26 (2012)
- [j74]Dongning Luo, Jing Yang, Milos Krstajic, William Ribarsky, Daniel A. Keim: EventRiver: Visually Exploring Text Collections with Temporal References. IEEE Trans. Vis. Comput. Graph. 18(1): 93-105 (2012)
- [j73]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)
- [c155]James Davey, Florian Mansmann, Jörn Kohlhammer, Daniel A. Keim: Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions. Future Internet Assembly 2012: 93-104
- [c154]Andrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim: Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. IEEE VAST 2012: 63-72
- [c153]Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim: Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. IEEE VAST 2012: 173-182
- [c152]Michael Behrisch, James Davey, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer: Matrix-based visual correlation analysis on large timeseries data. IEEE VAST 2012: 209-210
- [c151]Ming C. Hao, Manish Marwah, Sebastian Mittelstädt, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Cullen Bash, Carlos J. Felix, Chandrakant D. Patel, Meichun Hsu, Yuan Chen: Exploring cyber physical data streams using Radial Pixel Visualizations. IEEE VAST 2012: 225-226
- [c150]Fabian Fischer, Johannes Fuchs, Florian Mansmann, Daniel A. Keim: BANKSAFE: A visual situational awareness tool for large-scale computer networks: VAST 2012 challenge award: Outstanding comprehensive submission, including multiple vizes. IEEE VAST 2012: 257-258
- [c149]Daniel A. Keim: Solving Problems with Visual Analytics: Challenges and Applications. ECML/PKDD (1) 2012: 5-6
- [c148]Fabian Fischer, Florian Mansmann, Daniel A. Keim: Real-time visual analytics for event data streams. SAC 2012: 801-806
- [i1]Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel: Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports 2(2): 58-83 (2012)
- 2011
- [j72]Ming C. Hao, Halldór Janetzko, Sebastian Mittelstädt, W. Hill, Umeshwar Dayal, Daniel A. Keim, Manish Marwah, Ratnesh K. Sharma: A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series. Comput. Graph. Forum 30(3): 691-700 (2011)
- [j71]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)
- [j70]Gerhard Heyer, Daniel A. Keim, Sven Teresniak, Daniela Oelke: Interaktive explorative Suche in großen Dokumentbeständen. Datenbank-Spektrum 11(3): 195-206 (2011)
- [j69]Jörn Kohlhammer, Daniel A. Keim, Margit Pohl, Giuseppe Santucci, Gennady L. Andrienko: Solving Problems with Visual Analytics. Procedia CS 7: 117-120 (2011)
- [j68]Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Peter Bak, Holger Theisel, Marcus A. Magnor, Daniel A. Keim: Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 17(5): 584-597 (2011)
- [j67]Milos Krstajic, Enrico Bertini, Daniel A. Keim: CloudLines: Compact Display of Event Episodes in Multiple Time-Series. IEEE Trans. Vis. Comput. Graph. 17(12): 2432-2439 (2011)
- [j66]
- [j65]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Slava Kisilevich, Stefan Wrobel: A conceptual framework and taxonomy of techniques for analyzing movement. J. Vis. Lang. Comput. 22(3): 213-232 (2011)
- [j64]Gennady L. Andrienko, Natalia V. Andrienko, Daniel A. Keim, Alan M. MacEachren, Stefan Wrobel: Challenging problems of geospatial visual analytics. J. Vis. Lang. Comput. 22(4): 251-256 (2011)
- [c147]Christian Rohrdantz, Annette Hautli, Thomas Mayer, Miriam Butt, Daniel A. Keim, Frans Plank: Towards Tracking Semantic Change by Visual Analytics. ACL (Short Papers) 2011: 305-310
- [c146]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
- [c145]Selma Tekir, Florian Mansmann, Daniel A. Keim: Geodesic distances for web document clustering. CIDM 2011: 15-21
- [c144]Slava Kisilevich, Daniel A. Keim, Roman Byshko, Michael Tsibelman, Lior Rokach: Developing a Price Management Decision Support System for Hotel Brokers using Free and Open Source Tools. ICEIS (2) 2011: 147-156
- [c143]Ming C. Hao, Christian Rohrdantz, Halldor Janetzko, Umeshwar Dayal, Daniel A. Keim, Lars-Erik Haug, Meichun Hsu: Visual sentiment analysis on twitter data streams. IEEE VAST 2011: 277-278
- [c142]Enrico Bertini, Juri Buchmuller, Fabian Fischer, Stephan Huber, Thomas Lindemeier, Fabian Maass, Florian Mansmann, Thomas Ramm, Michael Regenscheit, Christian Rohrdantz, Christian Scheible, Tobias Schreck, Stephan Sellien, Florian Stoffel, Mark Tautzenberger, Matthias Zieker, Daniel A. Keim: Visual analytics of terrorist activities related to epidemics. IEEE VAST 2011: 329-330
- [c141]Daniel A. Keim, Leishi Zhang: Solving problems with visual analytics: challenges and applications. I-KNOW 2011: 1
- [c140]
- 2010
- [b3]Daniel A. Keim, Jörn Kohlhammer, Geoffrey Ellis, Florian Mansmann: Mastering the Information Age - Solving Problems with Visual Analytics. Eurographics Association 2010, ISBN 978-3-905673-77-7, pp. 1-168
- [b2]Matthew O. Ward, Georges G. Grinstein, Daniel A. Keim: Interactive Data Visualization - Foundations, Techniques, and Applications. A K Peters 2010, ISBN 978-1-56881-473-5, pp. I-XVII, 1-496
- [j63]Gennady L. Andrienko, Natalia V. Andrienko, Sebastian Bremm, Tobias Schreck, Tatiana von Landesberger, Peter Bak, Daniel A. Keim: Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns. Comput. Graph. Forum 29(3): 913-922 (2010)
- [j62]Ming C. Hao, Ratnesh K. Sharma, Daniel A. Keim, Umeshwar Dayal, Chandrakant D. Patel, Ravigopal Vennelakanti: Application of Visual Analytics for Thermal State Management in Large Data Centres. Comput. Graph. Forum 29(6): 1895-1904 (2010)
- [j61]Oliver Deussen, Thomas Ertl, Daniel A. Keim: Visual Analytics. Informatik Spektrum 33(6): 549 (2010)
- [j60]Oliver Deussen, Heinrich H. Bülthoff, Thomas Ertl, Daniel A. Keim, Bernd Lintermann, Harald Reiterer, Andreas Schilling: Visualisierung auf Großbildschirmen - Herausforderung eines neuen Ausgabegeräts. Informatik Spektrum 33(6): 551-558 (2010)
- [j59]Dirk J. Lehmann, Georgia Albuquerque, Martin Eisemann, Andrada Tatu, Daniel A. Keim, Heidrun Schumann, Marcus A. Magnor, Holger Theisel: Visualisierung und Analyse multidimensionaler Datensätze. Informatik Spektrum 33(6): 589-600 (2010)
- [j58]Christian Rohrdantz, Steffen Koch, Charles Jochim, Gerhard Heyer, Gerik Scheuermann, Thomas Ertl, Hinrich Schütze, Daniel A. Keim: Visuelle Textanalyse - Interaktive Exploration von semantischen Inhalten. Informatik Spektrum 33(6): 601-611 (2010)
- [j57]Ming C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko: Variable binned scatter plots. Information Visualization 9(3): 194-203 (2010)
- [j56]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Halldor Janetzko, Peter Bak: Generalized scatter plots. Information Visualization 9(4): 301-311 (2010)
- [j55]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Sebastian Bremm, Daniel A. Keim, Tatiana von Landesberger, Christian Pölitz, Tobias Schreck: A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. J. Location Based Services 4(3&4): 200-221 (2010)
- [j54]Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong, Florian Mansmann: Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic. J. Network Syst. Manage. 18(2): 232-236 (2010)
- [c139]Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela Oelke, David Spretke, Hartmut Ziegler: Advanced visual analytics interfaces. AVI 2010: 3-10
- [c138]Andrada Tatu, Peter Bak, Enrico Bertini, Daniel A. Keim, Jörn Schneidewind: Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. AVI 2010: 49-56
- [c137]Slava Kisilevich, Florian Mansmann, Daniel A. Keim: P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. COM.Geo 2010
- [c136]Joerg Meyer, Jim Thomas, Stephan Diehl, Brian D. Fisher, Daniel A. Keim: From Visualization to Visually Enabled Reasoning. Scientific Visualization: Advanced Concepts 2010: 227-245
- [c135]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
- [c134]Milos Krstajic, Florian Mansmann, Andreas Stoffel, Martin Atkinson, Daniel A. Keim: Processing online news streams for large-scale semantic analysis. ICDE Workshops 2010: 215-220
- [c133]Slava Kisilevich, Daniel A. Keim, Lior Rokach: GEO-SPADE - A Generic Google Earth-based Framework for Analyzing and Exploring Spatio-temporal Data. ICEIS (5) 2010: 13-20
- [c132]Slava Kisilevich, Daniel A. Keim, Amit Lasry, Leon Bam, Lior Rokach: Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies. ICEIS 2010: 495-511
- [c131]Hartmut Ziegler, Marco Jenny, Tino Gruse, Daniel A. Keim: Visual market sector analysis for financial time series data. IEEE VAST 2010: 83-90
- [c130]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
- [c129]Ming C. Hao, Manish Marwah, Halldor Janetzko, Daniel A. Keim, Umeshwar Dayal, Ratnesh K. Sharma, Debprakash Patnaik, Naren Ramakrishnan: Visual analysis of frequent patterns in large time series. IEEE VAST 2010: 227-228
- [c128]Richard May, Pat Hanrahan, Daniel A. Keim, Ben Shneiderman, Stuart K. Card: The state of visual analytics: Views on what visual analytics is and where it is going. IEEE VAST 2010: 257-259
- [c127]Slava Kisilevich, Christian Rohrdantz, Daniel A. Keim: 'Beautiful picture of an ugly place'. Exploring photo collections using opinion and sentiment analysis of user comments. IMCSIT 2010: 419-428
- [c126]Slava Kisilevich, Milos Krstajic, Daniel A. Keim, Natalia V. Andrienko, Gennady L. Andrienko: Event-Based Analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections. IV 2010: 289-296
- [c125]Andreas Stoffel, David Spretke, Henrik Kinnemann, Daniel A. Keim: Enhancing document structure analysis using visual analytics. SAC 2010: 8-12
- [c124]Ming C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko: Visual analytics of large multidimensional data using variable binned scatter plots. VDA 2010: 753006
- [c123]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
- [p4]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
2000 – 2009
- 2009
- [j53]George G. Robertson, David S. Ebert, Stephen G. Eick, Daniel A. Keim, Ken Joy: Scale and complexity in visual analytics. Information Visualization 8(4): 247-253 (2009)
- [j52]Daniel A. Keim, Florian Mansmann, Jim Thomas: Visual analytics: how much visualization and how much analytics? SIGKDD Explorations 11(2): 5-8 (2009)
- [j51]Jianping Fan, Daniel A. Keim, Yuli Gao, Hangzai Luo, Zongmin Li: JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images. IEEE Trans. Circuits Syst. Video Techn. 19(2): 273-288 (2009)
- [j50]Yuli Gao, Jinye Peng, Hangzai Luo, Daniel A. Keim, Jianping Fan: An Interactive Approach for Filtering Out Junk Images From Keyword-Based Google Search Results. IEEE Trans. Circuits Syst. Video Techn. 19(12): 1851-1865 (2009)
- [j49]Peter Bak, Florian Mansmann, Halldor Janetzko, Daniel A. Keim: Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps. IEEE Trans. Vis. Comput. Graph. 15(6): 913-920 (2009)
- [j48]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)
- [c122]Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North: Visual support for analyzing network traffic and intrusion detection events using TreeMap and graph representations. CHIMIT 2009
- [c121]Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel: Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks. DFN-Forum Kommunikationstechnologien 2009: 115-124
- [c120]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim: Analysis of community-contributed space-and time-referenced data (example of Panoramio photos). GIS 2009: 540-541
- [c119]Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Jörn Schneidewind, Holger Theisel, Marcus A. Magnor, Daniel A. Keim: Combining automated analysis and visualization techniques for effective exploration of high-dimensional data. IEEE VAST 2009: 59-66
- [c118]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
- [c117]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim: Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos). IEEE VAST 2009: 213-214
- [c116]Ming C. Hao, Halldór Janetzko, Ratnesh K. Sharma, Umeshwar Dayal, Daniel A. Keim, Malú Castellanos: Poster: Visual prediction of time series. IEEE VAST 2009: 229-230
- [c115]Peter Bak, Christian Rohrdantz, Svenja Leifert, Christoph Granacher, Stefan Koch, Simon Butscher, Patrick Jungk, Daniel A. Keim: Integrative visual analytics for suspicious behavior detection. IEEE VAST 2009: 253-254
- [c114]Hangzai Luo, Jianping Fan, Daniel A. Keim, Shin'ichi Satoh: Personalized News Video Recommendation. MMM 2009: 459-471
- [c113]Daniel A. Keim, Daniela Oelke, Christian Rohrdantz: Analyzing Document Collections via Context-Aware Term Extraction. NLDB 2009: 154-168
- [c112]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Ratnesh K. Sharma, Abhay Mehta: Visual analytics of anomaly detection in large data streams. VDA 2009: 72430
- [c111]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim: Analysis of Community-contributed Space- and Timereferenced Data by Example of Panoramio Photos. VMV 2009: 323-330
- [r3]Daniel A. Keim, Peter Bak, Matthias Schäfer: Dense Pixel Displays. Encyclopedia of Database Systems 2009: 789-795
- [r2]Daniel A. Keim, Florian Mansmann, Andreas Stoffel, Hartmut Ziegler: Visual Analytics. Encyclopedia of Database Systems 2009: 3341-3346
- 2008
- [j47]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)
- [j46]Hartmut Ziegler, Daniel A. Keim: COPERNICUS: Context-Preserving Engine for Route Navigation with Interactive User-modifiable Scaling. Comput. Graph. Forum 27(3): 927-934 (2008)
- [c110]Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler: Visual Analytics: Combining Automated Discovery with Interactive Visualizations. ALT 2008: 2
- [c109]Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler: Visual Analytics: Combining Automated Discovery with Interactive Visualizations. Discovery Science 2008: 2-14
- [c108]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
- [c107]Jianping Fan, Hangzai Luo, Aoying Zhou, Daniel A. Keim: Personalized News Video Recommendation Via Interactive Exploration. ISVC (2) 2008: 380-389
- [c106]Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim: Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments. IV 2008: 287-295
- [c105]Jianping Fan, Yuli Gao, Hangzai Luo, Daniel A. Keim, Zongmin Li: A novel approach to enable semantic and visual image summarization for exploratory image search. Multimedia Information Retrieval 2008: 358-365
- [c104]Hangzai Luo, Jianping Fan, Daniel A. Keim: Personalized news video recommendation. ACM Multimedia 2008: 1001-1002
- [c103]Tobias Schreck, Dieter W. Fellner, Daniel A. Keim: Towards automatic feature vector optimization for multimedia applications. SAC 2008: 1197-1201
- [c102]Fabian Fischer, Florian Mansmann, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel: Large-Scale Network Monitoring for Visual Analysis of Attacks. VizSEC 2008: 111-118
- [p3]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Jim Thomas, Hartmut Ziegler: Visual Analytics: Scope and Challenges. Visual Data Mining 2008: 76-90
- [e5]David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim (Eds.): Scientific Visualization, 15.07. - 20.07.2007. Dagstuhl Seminar Proceedings 07291, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
- [e4]Oliver Deussen, Daniel A. Keim, Dietmar Saupe (Eds.): Proceedings of the Vision, Modeling, and Visualization Conference 2008, VMV 2008, Konstanz, Germany, October 8-10, 2008. Aka GmbH 2008, ISBN 978-3-89838-609-8
- [r1]Daniel A. Keim, Benjamin Bustos, Stefan Berchtold, Hans-Peter Kriegel: Indexing, X-Tree. Encyclopedia of GIS 2008: 543-547
- 2007
- [j45]Jörn Kohlhammer, Daniel A. Keim, David S. Ebert: Introduction. Computers & Graphics 31(3): 314-315 (2007)
- [j44]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck: Content-Based 3D Object Retrieval. IEEE Computer Graphics and Applications 27(4): 22-27 (2007)
- [j43]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Andrada Tatu: Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-Datenbanken. Datenbank-Spektrum 20: 23-32 (2007)
- [j42]Gennady L. Andrienko, Natalia V. Andrienko, Piotr Jankowski, Daniel A. Keim, Menno-Jan Kraak, Alan M. MacEachren, Stefan Wrobel: Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science 21(8): 839-857 (2007)
- [j41]Mike Sips, Jörn Schneidewind, Daniel A. Keim: Highlighting space-time patterns: Effective visual encodings for interactive decision-making. International Journal of Geographical Information Science 21(8): 879-893 (2007)
- [j40]Jörn Schneidewind, Mike Sips, Daniel A. Keim: An automated approach for the optimization of pixel-based visualizations. Information Visualization 6(1): 75-88 (2007)
- [j39]
- [j38]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Martha Lyons: Value-Cell Bar Charts for Visualizing Large Transaction Data Sets. IEEE Trans. Vis. Comput. Graph. 13(4): 822-833 (2007)
- [j37]Florian Mansmann, Daniel A. Keim, Stephen C. North, Brian Rexroad, Daniel Sheleheda: Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. IEEE Trans. Vis. Comput. Graph. 13(6): 1105-1112 (2007)
- [c101]Svetlana Mansmann, Florian Mansmann, Marc H. Scholl, Daniel A. Keim: Hierarchy-driven Visual Exploration of Multidimensional Data Cubes. BTW 2007: 96-111
- [c100]David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim: 07291 Summary - Scientific Visualization. Scientific Visualization 2007
- [c99]David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim: 07291 Abstracts Collection - Scientific Visualization. Scientific Visualization 2007
- [c98]Maristella Agosti, Stefano Berretti, Gert Brettlecker, Alberto Del Bimbo, Nicola Ferro, Norbert Fuhr, Daniel A. Keim, Claus-Peter Klas, Thomas Lidy, Diego Milano, Moira C. Norrie, Paola Ranaldi, Andreas Rauber, Hans-Jörg Schek, Tobias Schreck, Heiko Schuldt, Beat Signer, Michael Springmann: DelosDLMS - The Integrated DELOS Digital Library Management System. DELOS Conference 2007: 36-45
- [c97]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, D. Morent, Jörn Schneidewind: Intelligent Visual Analytics Queries. IEEE VAST 2007: 91-98
- [c96]Daniel A. Keim, Daniela Oelke: Literature Fingerprinting: A New Method for Visual Literary Analysis. IEEE VAST 2007: 115-122
- [c95]Jim Thomas, Daniel A. Keim, Joe Kielman, Larry Rosenblum: Outlook for Visual Analytics Research Funding. IEEE VAST 2007: 227
- [c94]Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim: Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps. IV 2007: 308-315
- [c93]Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim: Relevance Driven Visualization of Financial Performance Measures. EuroVis 2007: 19-26
- [c92]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck: Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. EuroVis 2007: 27-34
- [c91]Florian Mansmann, L. Meier, Daniel A. Keim: Visualization of Host Behavior for Network Security. VizSEC 2007: 187-202
- [c90]Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North: Visualizing large-scale IP traffic flows. VMV 2007: 23-30
- 2006
- [j36]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: Business process impact visualization and anomaly detection. Information Visualization 5(1): 15-27 (2006)
- [j35]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic: An experimental effectiveness comparison of methods for 3D similarity search. Int. J. on Digital Libraries 6(1): 39-54 (2006)
- [j34]Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North: Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. IEEE Trans. Vis. Comput. Graph. 12(5): 749-756 (2006)
- [j33]Daniel A. Keim, George G. Robertson, James J. Thomas, Jarke J. van Wijk: Guest Editorial: Special Section on Visual Analytics. IEEE Trans. Vis. Comput. Graph. 12(6): 1361-1362 (2006)
- [c89]Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence: Task-at-hand interface for change detection in stock market data. AVI 2006: 420-427
- [c88]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
- [c87]Benjamin Bustos, Oliver Deussen, Stefan Hiller, Daniel A. Keim: A Graphics Hardware Accelerated Algorithm for Nearest Neighbor Search. International Conference on Computational Science (4) 2006: 196-199
- [c86]Tobias Schreck, Daniel A. Keim, Christian Panse: Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering. ICME 2006: 925-928
- [c85]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Tobias Schreck: Monitoring Network Traffic with Radial Traffic Analyzer. IEEE VAST 2006: 123-128
- [c84]Jörn Schneidewind, Mike Sips, Daniel A. Keim: Pixnostics: Towards Measuring the Value of Visualization. IEEE VAST 2006: 199-206
- [c83]Mikael Jern, Ebad Banissi, Gennady L. Andrienko, Wolfgang Müller, Daniel A. Keim: European Research Forum Panel Session Envisioning Research Challenges in Visual Analytics. IV 2006: 5-8
- [c82]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler: Challenges in Visual Data Analysis. IV 2006: 9-16
- [c81]Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann: Scalable Pixel-based Visual Interfaces: Challenges and Solutions. IV 2006: 32-38
- [c80]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
- [c79]Daniel A. Keim, Jörn Schneidewind, Mike Sips: Scalable Pixel Based Visual Data Exploration. VIEW 2006: 12-24
- [c78]Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler: A Spectral Visualization System for Analyzing Financial Time Series Data. EuroVis 2006: 195-202
- [e3]Pak Chung Wong, Daniel A. Keim (Eds.): IEEE Symposium On Visual Analytics Science And Technology, IEEE VAST 2006, October 31-November 2, 2006, Baltimore, Maryland, USA. IEEE 2006, ISBN 1-4244-0591-2
- 2005
- [j32]Daniel A. Keim, Christian Panse, Stephen C. North: Medial-Axis-Based Cartograms. IEEE Computer Graphics and Applications 25(3): 60-68 (2005)
- [j31]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic: Feature-based similarity search in 3D object databases. ACM Comput. Surv. 37(4): 345-387 (2005)
- [j30]Daniel A. Keim, Jörn Schneidewind: Scalable Visual Data Exploration of Large Data Sets via MultiResolution. J. UCS 11(11): 1766-1779 (2005)
- [c77]Florian Mansmann, Tobias Schreck, Daniel A. Keim: MailSOM - Exploration of Electronic Mail Archives Using Self-Organizing Maps. CEAS 2005
- [c76]Daniel A. Keim, Florian Mansmann, Tobias Schreck: Analyzing Electronic Mail Using Temporal, Spatial, and Content-based Visualization Techniques. GI Jahrestagung (1) 2005: 434-438
- [c75]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck: Importance-Driven Visualization Layouts for Large Time Series Data. INFOVIS 2005: 27
- [c74]Benjamin Bustos, Daniel A. Keim, Tobias Schreck: A pivot-based index structure for combination of feature vectors. SAC 2005: 1180-1184
- [c73]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: VisBiz: A Business Process Visualization Case Study. EuroVis 2005: 109-116
- [c72]Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips: Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis 2005: 247-254
- 2004
- [j29]Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North: Pixel based visual data mining of geo-spatial data. Computers & Graphics 28(3): 327-344 (2004)
- [j28]Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North: Visual Data Mining in Large Geospatial Point Sets. IEEE Computer Graphics and Applications 24(5): 36-44 (2004)
- [j27]
- [j26]Daniel A. Keim, Nick Koudas: Introduction to special issue with best papers from KDD 2002. Inf. Syst. 29(4): 271-272 (2004)
- [j25]Daniel A. Keim, Thomas Ertl: Wissenschaftliche Visualisierung. it - Information Technology 46(3): 109-110 (2004)
- [j24]Thomas Ertl, Daniel A. Keim: Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte. it - Information Technology 46(3): 148-153 (2004)
- [j23]Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: Multiresolution similarity search in image databases. Multimedia Syst. 10(1): 28-40 (2004)
- [j22]Daniel A. Keim, Stephen C. North, Christian Panse: CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. IEEE Trans. Vis. Comput. Graph. 10(1): 95-110 (2004)
- [j21]Daniel A. Keim, Tamara Munzner, Stephen C. North: Guest Editor's Introduction: Special Section on InfoVis. IEEE Trans. Vis. Comput. Graph. 10(4): 446 (2004)
- [c71]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic: An Experimental Comparison of Feature-Based 3D Retrieval Methods. 3DPVT 2004: 215-222
- [c70]Daniel A. Keim, Jörn Schneidewind, Mike Sips: CircleView: a new approach for visualizing time-related multidimensional data sets. AVI 2004: 179-182
- [c69]
- [c68]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic: Using entropy impurity for improved 3D object similarity search. ICME 2004: 1303-1306
- [c67]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Analyzing Large Collections of Email. IKE 2004: 275-281
- [c66]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: Interactive Poster: Visual Mining of Business Process Data. INFOVIS 2004
- [c65]Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips: RecMap: Rectangular Map Approximations. INFOVIS 2004: 33-40
- [c64]Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips: Exploring and Visualizing the History of InfoVis. INFOVIS 2004
- [c63]Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Finding Spatial Patterns in Network Data. PaRMa 2004
- [c62]Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet: Pattern management challenges. PaRMa 2004
- [c61]
- [c60]Amihood Amir, Reuven Kashi, Daniel A. Keim, Nathan S. Netanyahu, Markus Wawryniuk: Shape-Embedded-Histograms for Visual Data Mining. VisSym 2004: 55-64, 341
- [c59]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal: VisBiz: A Simplified Visualization of Business Operation. IEEE Visualization 2004: 1
- [c58]Benjamin Bustos, Daniel A. Keim, Christian Panse, Tobias Schreck: 2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. IEEE Visualization 2004: 2
- [c57]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG 2004: 213-220
- [e2]Oliver Deussen, Charles D. Hansen, Daniel A. Keim, Dietmar Saupe (Eds.): VisSym 2004, Symposium on Visualization, Konstanz, Germany, May 19-21, 2004. Eurographics Association 2004, ISBN 3-905673-07-X
- 2003
- [j20]David J. Hand, Daniel A. Keim, Raymond T. Ng: Guest Editorial. Data Min. Knowl. Discov. 7(3): 239-240 (2003)
- [j19]David J. Hand, Daniel A. Keim, Raymond T. Ng: Guest Editorial. Data Min. Knowl. Discov. 7(4): 347-348 (2003)
- [j18]Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind: Visualizing geographic information: VisualPoints vs. CartoDraw. Information Visualization 2(1): 58-67 (2003)
- [j17]Alexander Hinneburg, Daniel A. Keim: A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5(4): 387-415 (2003)
- [c56]Alexander Hinneburg, Daniel A. Keim: Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art 2003: 407-422
- [c55]Daniel A. Keim, Christian Panse, Mike Sips: Visual Data Mining of Large Spatial Data Sets. DNIS 2003: 201-215
- [c54]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye - Visual Clustering of High dimensional Data. ICDE 2003: 753-755
- [c53]Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, Daniel A. Keim, Markus Wawryniuk: Analyzing High-Dimensional Data by Subspace Validity. ICDM 2003: 473-476
- [c52]Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North: PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. ICDM 2003: 565-568
- [c51]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal: Pushing the Limit in Visual Data Exploration: Techniques and Applications. KI 2003: 37-51
- [c50]Martin L. Kersten, Gerhard Weikum, Michael J. Franklin, Daniel A. Keim, Alejandro P. Buchmann, Surajit Chaudhuri: A Database Striptease or How to Manage Your Personal Databases. VLDB 2003: 1043-1044
- 2002
- [j16]
- [j15]Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic: Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Datenbank-Spektrum 2: 54-63 (2002)
- [j14]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Meichun Hsu: Pixel bar charts: a visualization technique for very large multi-attribute data sets? Information Visualization 1(1): 20-34 (2002)
- [j13]Stephen G. Eick, Daniel A. Keim: Visual Data Mining - KDD Workshop Report. SIGKDD Explorations 3(2): 70 (2002)
- [j12]Daniel A. Keim: Information Visualization and Visual Data Mining. IEEE Trans. Vis. Comput. Graph. 8(1): 1-8 (2002)
- [j11]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal: Hierarchical Pixel Bar Charts. IEEE Trans. Vis. Comput. Graph. 8(3): 255-269 (2002)
- [c49]Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind: Efficient Cartogram Generation: A Comparison. INFOVIS 2002: 33-36
- [c48]Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk: Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems 2002: 76-85
- [c47]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye: visual clustering of high dimensional data. SIGMOD Conference 2002: 629
- 2001
- [j10]
- [j9]Christian Böhm, Stefan Berchtold, Daniel A. Keim: Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Comput. Surv. 33(3): 322-373 (2001)
- [c46]Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic: Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. BTW 2001: 384-401
- [c45]Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001: 420-434
- [c44]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Florian Krebs, Hans-Peter Kriegel: On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. ICDT 2001: 435-449
- [c43]Daniel A. Keim, Ming C. Hao, Julian Ladisch, Meichun Hsu, Umeshwar Dayal: Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation. INFOVIS 2001: 113-120
- 2000
- [j8]Daniel A. Keim, Alexander Hinneburg: Interesting KDD-News from SIGMOD'99. SIGKDD Explorations 1(2): 117 (2000)
- [j7]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. 12(1): 45-57 (2000)
- [j6]Daniel A. Keim: Designing Pixel-Oriented Visualization Techniques: Theory and Applications. IEEE Trans. Vis. Comput. Graph. 6(1): 59-78 (2000)
- [c42]Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt: Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. BIBE 2000: 43-49
- [c41]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel, Xiaowei Xu: Optimal Multidimensional Query Processing Using Tree Striping. DaWaK 2000: 244-257
- [c40]Martin Heczko, Daniel A. Keim, Roger Weber: Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries 2000
- [c39]Stefan Berchtold, Daniel A. Keim: Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications. ICDE 2000: 698-699
- [c38]Gunter Saake, Kai-Uwe Sattler, Daniel A. Keim: Datenbank- und Visualisierungstechnologien in der Informationsfusion. SimVis 2000: 1-14
- [c37]Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim: What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000: 506-515
- [e1]Jock D. Mackinlay, Steven F. Roth, Daniel A. Keim (Eds.): IEEE Symposium on Information Visualization 2000 (INFOVIS'00), Salt Lake City, Utah, USA, October 9-10, 2000. IEEE Computer Society 2000, ISBN 0-7695-0804-9
1990 – 1999
- 1999
- [j5]Eleftherios Koutsofios, Stephen C. North, Daniel A. Keim: Visualizing Large Telecommunication Data Sets. IEEE Computer Graphics and Applications 19(3): 16-19 (1999)
- [j4]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye: Visual Mining of High-Dimensional Data. IEEE Computer Graphics and Applications 19(5): 22-31 (1999)
- [c36]Daniel A. Keim, Alexander Hinneburg: Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999: 141-181
- [c35]Daniel A. Keim: Efficient Geometry-based Similarity Search of 3D Spatial Databases. SIGMOD Conference 1999: 419-430
- [c34]Alexander Hinneburg, Daniel A. Keim: Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999: 509
- [c33]
- [c32]Daniel A. Keim, Eleftherios Koutsofios, Stephen C. North: Visual Exploration of Large Telecommunication Data Sets. UIDIS 1999: 12-20
- [c31]Eleftherios Koutsofios, Stephen C. North, Russell Truscott, Daniel A. Keim: Visualizing Large-Scale Telecommunication Networks and Services. IEEE Visualization 1999: 457-461
- [c30]Alexander Hinneburg, Daniel A. Keim: Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999: 506-517
- 1998
- [c29]Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt: Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. German Conference on Bioinformatics 1998
- [c28]Daniel A. Keim: Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. GI Jahrestagung 1998: 23-32
- [c27]Stefan Berchtold, Daniel A. Keim: Section Coding: A Similarity Search Technique for the Car Manufacturing Industry. IADT 1998: 256-263
- [c26]Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Fast Nearest Neighbor Search in High-Dimensional Space. ICDE 1998: 209-218
- [c25]Mihael Ankerst, Stefan Berchtold, Daniel A. Keim: Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. INFOVIS 1998: 52-60
- [c24]Alexander Hinneburg, Daniel A. Keim: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998: 58-65
- [c23]Stefan Berchtold, Daniel A. Keim: High-Dimensional Index Structures, Database Support for Next Decade's Applications (Tutorial). SIGMOD Conference 1998: 501
- [c22]Daniel A. Keim, Annemarie Herrmann: The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data. IEEE Visualization 1998: 181-188
- 1997
- [j3]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel: Using Extended Feature Objects for Partial Similarity Retrieval. VLDB J. 6(4): 333-348 (1997)
- [c21]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel: Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken. BTW 1997: 152-171
- [c20]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel: A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. PODS 1997: 78-86
- [c19]Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel A. Keim, Hans-Peter Kriegel: Fast Parallel Similarity Search in Multimedia Databases. SIGMOD Conference 1997: 1-12
- 1996
- [j2]
- [j1]Daniel A. Keim, Hans-Peter Kriegel: Visualization Techniques for Mining Large Databases: A Comparison. IEEE Trans. Knowl. Data Eng. 8(6): 923-938 (1996)
- [c18]
- [c17]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel: The X-tree : An Index Structure for High-Dimensional Data. VLDB 1996: 28-39
- 1995
- [c16]Daniel A. Keim, Hans-Peter Kriegel: Visualisierungstechniken zur Exploration und Analyse sehr großer Datenbanken. BTW 1995: 262-281
- [c15]Daniel A. Keim, John Peter Lee, Bhavani M. Thuraisingham, Craig M. Wittenbrink: Database Issues for Data Visualization: Supporting Interactive Database Explorartion. Workshop on Database Issues for Data Visualization 1995: 12-25
- [c14]Daniel A. Keim: Enhancing the Visual Clustering of Query-Dependent Database Visualization techniques Using Screen-Filling Curves. Workshop on Database Issues for Data Visualization 1995: 101-110
- [c13]Daniel A. Keim, Hans-Peter Kriegel: VisDB: A System for Visualizing Large Databases. SIGMOD Conference 1995: 482
- [c12]Daniel A. Keim, Hans-Peter Kriegel: Possibilities and Limits in Visualizing Large Databases. VDB 1995: 203-214
- [c11]Daniel A. Keim, Mihael Ankerst, Hans-Peter Kriegel: Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. IEEE Visualization 1995: 279-286
- [p2]R. Daniel Bergeron, Daniel A. Keim, Ronald M. Pickett: Test Data Sets for Evaluating Data Visualization Techniques. Perceptual Issues in Visualization 1995: 9-21
- [p1]Daniel A. Keim, Hans-Peter Kriegel: Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data. Perceptual Issues in Visualization 1995: 127-141
- 1994
- [c10]Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam: Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems. CoopIS 1994: 203-214
- [c9]Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994: 302-313
- 1993
- [c8]John Boyle, Stephen G. Eick, Matthias Hemmje, Daniel A. Keim, John Peter Lee, Eric E. Sumner Jr.: Database Issues for Data Visualization: Interaction, User Interfaces, and Presentation. Workshop on Database Issues for Data Visualization 1993: 25-34
- [c7]Daniel A. Keim, Hans-Peter Kriegel: Using Visualization to Support Data Mining of Large Existing Databases. Workshop on Database Issues for Data Visualization 1993: 210-229
- [c6]Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam: Object-Oriented Querying of Existing Relations Databases. DEXA 1993: 325-336
- [c5]Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam: Integration of Relational Databases in a Multidatabase System based on Schema Enrichment. RIDE-IMS 1993: 96-104
- [c4]Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Visual Feedback in Querying Large Databases. IEEE Visualization 1993: 158-165
- 1992
- [b1]Daniel A. Keim, Edy S. Prawirohardjo: Datenbankmaschinen: Performanz durch Parallelität. Reihe Informatik 86, Bibliographisches Institut 1992, ISBN 3-411-15701-1
- [c3]Daniel A. Keim, Vincent Y. Lum: GRADI: A Graphical Database Interface for a Multimedia DBMS. IDS 1992: 95-112
- [c2]Daniel A. Keim, Vincent Y. Lum: Visual Query Specification in a Multimedia Database System. IEEE Visualization 1992: 194-201
- 1991
- [c1]Daniel A. Keim, Kyung-Chang Kim, Vincent Y. Lum: A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS. DEXA 1991: 102-111
Coauthor Index
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last updated on 2013-10-15 21:39 CEST by the dblp team