Daniel A. Keim

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2013
240Solving Problems with Visual Analytics: The Role of Visualization and Analytics in Exploring Big Data. Daniel A. Keim. BTW 2013, 17-18. Web SearchBibTeXDownload
239Preface: Intelligent interactive data visualization. Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon. Data Min. Knowl. Discov. (27): 1-3 (2013). Web SearchBibTeXDownload
238A GIS-based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context. Slava Kisilevich, Daniel A. Keim, Lior Rokach. Decision Support Systems (54): 1119-1133 (2013). Web SearchBibTeXDownload
237Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading. Halldor Janetzko, Ming C. Hao, Sebastian Mittelstädt, Umeshwar Dayal, Daniel A. Keim. HICSS 2013, 1522-1531. Web SearchBibTeXDownload
2012
236Feature-Based Visual Sentiment Analysis of Text Document Streams. Christian Rohrdantz, Ming C. Hao, Umeshwar Dayal, Lars-Erik Haug, Daniel A. Keim. ACM TIST (3): 26 (2012). Web SearchBibTeXDownload
235Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives. Hendrik Strobelt, M. Spicker, Andreas Stoffel, Daniel A. Keim, Oliver Deussen. Comput. Graph. Forum (31): 1135-1144 (2012). Web SearchBibTeXDownload
234Document Thumbnails with Variable Text Scaling. Andreas Stoffel, Hendrik Strobelt, Oliver Deussen, Daniel A. Keim. Comput. Graph. Forum (31): 1165-1173 (2012). Web SearchBibTeXDownload
233The World's Languages Explorer: Visual Analysis of Language Features in Genealogical and Areal Contexts. Christian Rohrdantz, Michael Hund, Thomas Mayer, Bernhard Wälchli, Daniel A. Keim. Comput. Graph. Forum (31): 935-944 (2012). Web SearchBibTeXDownload
232Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel. Dagstuhl Reports (2): 58-83 (2012). Web SearchBibTeXDownload
231Solving Problems with Visual Analytics: Challenges and Applications. Daniel A. Keim, Leishi Zhang, Milos Krstajic, Svenja Simon. ECML/PKDD (1) 2012, 5-6. Web SearchBibTeXDownload
230Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions. James Davey, Florian Mansmann, Jörn Kohlhammer, Daniel A. Keim. Future Internet Assembly 2012, 93-104. Web SearchBibTeXDownload
229EventRiver: Visually Exploring Text Collections with Temporal References. Dongning Luo, Jing Yang, Milos Krstajic, William Ribarsky, Daniel A. Keim. IEEE Trans. Vis. Comput. Graph. (18): 93-105 (2012). Web SearchBibTeXDownload
228Visual Readability Analysis: How to Make Your Writings Easier to Read. Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim. IEEE Trans. Vis. Comput. Graph. (18): 662-674 (2012). Web SearchBibTeXDownload
227BANKSAFE: A visual situational awareness tool for large-scale computer networks: VAST 2012 challenge award: Outstanding comprehensive submission, including multiple vizes. Fabian Fischer, Johannes Fuchs, Florian Mansmann, Daniel A. Keim. IEEE VAST 2012, 257-258. Web SearchBibTeXDownload
226Matrix-based visual correlation analysis on large timeseries data. Michael Behrisch, James Davey, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer. IEEE VAST 2012, 209-210. Web SearchBibTeXDownload
225Exploring cyber physical data streams using Radial Pixel Visualizations. 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. IEEE VAST 2012, 225-226. Web SearchBibTeXDownload
224Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim. IEEE VAST 2012, 173-182. Web SearchBibTeXDownload
223Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. Andrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim. IEEE VAST 2012, 63-72. Web SearchBibTeXDownload
222Visual exploration of frequent patterns in multivariate time series. Ming C. Hao, Manish Marwah, Halldór Janetzko, Umeshwar Dayal, Daniel A. Keim, Debprakash Patnaik, Naren Ramakrishnan, Ratnesh K. Sharma. Information Visualization (11): 71-83 (2012). Web SearchBibTeXDownload
221Improving 3D similarity search by enhancing and combining 3D descriptors. Benjamin Bustos, Tobias Schreck, Michael Walter, Juan Manuel Barrios, Matthias Schaefer, Daniel A. Keim. Multimedia Tools Appl. (58): 81-108 (2012). Web SearchBibTeXDownload
220Real-time visual analytics for event data streams. Fabian Fischer, Florian Mansmann, Daniel A. Keim. SAC 2012, 801-806. Web SearchBibTeXDownload
2011
219Towards Tracking Semantic Change by Visual Analytics. Christian Rohrdantz, Annette Hautli, Thomas Mayer, Miriam Butt, Daniel A. Keim, Frans Plank. ACL (Short Papers) 2011, 305-310. Web SearchBibTeXDownload
218Visual analysis of next-generation sequencing data to detect overlapping genes in bacterial genomes. Svenja Simon, Daniela Oelke, Richard Landstorfer, Klaus Neuhaus, Daniel A. Keim. BioVis 2011, 47-54. Web SearchBibTeXDownload
217Geodesic distances for web document clustering. Selma Tekir, Florian Mansmann, Daniel A. Keim. CIDM 2011, 15-21. Web SearchBibTeXDownload
216Visual Boosting in Pixel-based Visualizations. Daniela Oelke, Halldor Janetzko, Svenja Simon, Klaus Neuhaus, Daniel A. Keim. Comput. Graph. Forum (30): 871-880 (2011). Web SearchBibTeXDownload
215A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series. Ming C. Hao, Halldór Janetzko, S. Mittelstädt, W. Hill, Umeshwar Dayal, Daniel A. Keim, Manish Marwah, Ratnesh K. Sharma. Comput. Graph. Forum (30): 691-700 (2011). Web SearchBibTeXDownload
214Interaktive explorative Suche in großen Dokumentbeständen. Gerhard Heyer, Daniel A. Keim, Sven Teresniak, Daniela Oelke. Datenbank-Spektrum (11): 195-206 (2011). Web SearchBibTeXDownload
213Developing a Price Management Decision Support System for Hotel Brokers using Free and Open Source Tools. Slava Kisilevich, Daniel A. Keim, Roman Byshko, Michael Tsibelman, Lior Rokach. ICEIS (2) 2011, 147-156. Web SearchBibTeX
212Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data. Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Peter Bak, Holger Theisel, Marcus A. Magnor, Daniel A. Keim. IEEE Trans. Vis. Comput. Graph. (17): 584-597 (2011). Web SearchBibTeXDownload
211CloudLines: Compact Display of Event Episodes in Multiple Time-Series. Milos Krstajic, Enrico Bertini, Daniel A. Keim. IEEE Trans. Vis. Comput. Graph. (17): 2432-2439 (2011). Web SearchBibTeXDownload
210VisWeek Keynote Address. Mary Hegarty. IEEE Trans. Vis. Comput. Graph. (17): xxiii (2011). Web SearchBibTeXDownload
209Visual analytics of terrorist activities related to epidemics. 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. IEEE VAST 2011, 329-330. Web SearchBibTeXDownload
208Visual sentiment analysis on twitter data streams. Ming C. Hao, Christian Rohrdantz, Halldor Janetzko, Umeshwar Dayal, Daniel A. Keim, Lars-Erik Haug, Meichun Hsu. IEEE VAST 2011, 277-278. Web SearchBibTeXDownload
207Solving problems with visual analytics: challenges and applications. Daniel A. Keim, Leishi Zhang. I-KNOW 2011, 1. Web SearchBibTeXDownload
206A conceptual framework and taxonomy of techniques for analyzing movement. Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Slava Kisilevich, Stefan Wrobel. J. Vis. Lang. Comput. (22): 213-232 (2011). Web SearchBibTeXDownload
205Challenging problems of geospatial visual analytics. Gennady L. Andrienko, Natalia V. Andrienko, Daniel A. Keim, Alan M. MacEachren, Stefan Wrobel. J. Vis. Lang. Comput. (22): 251-256 (2011). Web SearchBibTeXDownload
204Solving Problems with Visual Analytics. Jörn Kohlhammer, Daniel A. Keim, Margit Pohl, Giuseppe Santucci, Gennady L. Andrienko. Procedia CS (7): 117-120 (2011). Web SearchBibTeXDownload
203ForAVis: explorative user forum analysis. Franz Wanner, Thomas Ramm, Daniel A. Keim. WIMS 2011, 14. Web SearchBibTeXDownload
2010
202Advanced visual analytics interfaces. Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela Oelke, David Spretke, Hartmut Ziegler. AVI 2010, 3-10. Web SearchBibTeXDownload
201Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. Andrada Tatu, Peter Bak, Enrico Bertini, Daniel A. Keim, Jörn Schneidewind. AVI 2010, 49-56. Web SearchBibTeXDownload
200P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. Slava Kisilevich, Florian Mansmann, Daniel A. Keim. COM.Geo 2010. Web SearchBibTeXDownload
199Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns. Gennady L. Andrienko, Natalia V. Andrienko, Sebastian Bremm, Tobias Schreck, Tatiana von Landesberger, Peter Bak, Daniel A. Keim. Comput. Graph. Forum (29): 913-922 (2010). Web SearchBibTeXDownload
198Application of Visual Analytics for Thermal State Management in Large Data Centres. Ming C. Hao, Ratnesh K. Sharma, Daniel A. Keim, Umeshwar Dayal, Chandrakant D. Patel, Ravigopal Vennelakanti. Comput. Graph. Forum (29): 1895-1904 (2010). Web SearchBibTeXDownload
197Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes. Klaus Neuhaus, Daniela Oelke, David Fürst, Siegfried Scherer, Daniel A. Keim. EvoBIO 2010, 228-239. Web SearchBibTeXDownload
196Processing online news streams for large-scale semantic analysis. Milos Krstajic, Florian Mansmann, Andreas Stoffel, Martin Atkinson, Daniel A. Keim. ICDE Workshops 2010, 215-220. Web SearchBibTeXDownload
195Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies. Slava Kisilevich, Daniel A. Keim, Amit Lasry, Leon Bam, Lior Rokach. ICEIS 2010, 495-511. Web SearchBibTeXDownload
194GEO-SPADE - A Generic Google Earth-based Framework for Analyzing and Exploring Spatio-temporal Data. Slava Kisilevich, Daniel A. Keim, Lior Rokach. ICEIS (5) 2010, 13-20. Web SearchBibTeX
193Visual readability analysis: How to make your writings easier to read. Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim. IEEE VAST 2010, 123-130. Web SearchBibTeXDownload
192Visual analysis of frequent patterns in large time series. Ming C. Hao, Manish Marwah, Halldor Janetzko, Daniel A. Keim, Umeshwar Dayal, Ratnesh K. Sharma, Debprakash Patnaik, Naren Ramakrishnan. IEEE VAST 2010, 227-228. Web SearchBibTeXDownload
191The state of visual analytics: Views on what visual analytics is and where it is going. Richard May, Pat Hanrahan, Daniel A. Keim, Ben Shneiderman, Stuart K. Card. IEEE VAST 2010, 257-259. Web SearchBibTeXDownload
190Visual market sector analysis for financial time series data. Hartmut Ziegler, Marco Jenny, Tino Gruse, Daniel A. Keim. IEEE VAST 2010, 83-90. Web SearchBibTeXDownload
189'Beautiful picture of an ugly place'. Exploring photo collections using opinion and sentiment analysis of user comments. Slava Kisilevich, Christian Rohrdantz, Daniel A. Keim. IMCSIT 2010, 419-428. Web SearchBibTeXDownload
188Visualisierung auf Großbildschirmen - Herausforderung eines neuen Ausgabegeräts. Oliver Deussen, Heinrich H. Bülthoff, Thomas Ertl, Daniel A. Keim, Bernd Lintermann, Harald Reiterer, Andreas Schilling. Informatik Spektrum (33): 551-558 (2010). Web SearchBibTeXDownload
187Visual Analytics. Oliver Deussen, Thomas Ertl, Andreas Stoffel, Hartmut Ziegler. Informatik Spektrum (33): 549 (2010). Web SearchBibTeXDownload
186Visualisierung und Analyse multidimensionaler Datensätze. Dirk J. Lehmann, Georgia Albuquerque, Martin Eisemann, Andrada Tatu, Daniel A. Keim, Heidrun Schumann, Marcus A. Magnor, Holger Theisel. Informatik Spektrum (33): 589-600 (2010). Web SearchBibTeXDownload
185Visuelle Textanalyse - Interaktive Exploration von semantischen Inhalten. Christian Rohrdantz, Steffen Koch, Charles Jochim, Gerhard Heyer, Gerik Scheuermann, Thomas Ertl, Hinrich Schütze, Daniel A. Keim. Informatik Spektrum (33): 601-611 (2010). Web SearchBibTeXDownload
184Generalized scatter plots. Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Halldor Janetzko, Peter Bak. Information Visualization (9): 301-311 (2010). Web SearchBibTeXDownload
183Variable binned scatter plots. Ming C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko. Information Visualization (9): 194-203 (2010). Web SearchBibTeXDownload
182Event-Based Analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections. Slava Kisilevich, Milos Krstajic, Daniel A. Keim, Natalia V. Andrienko, Gennady L. Andrienko. IV 2010, 289-296. Web SearchBibTeXDownload
181A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Sebastian Bremm, Daniel A. Keim, Tatiana von Landesberger, Christian Pölitz, Tobias Schreck. J. Location Based Services (4): 200-221 (2010). Web SearchBibTeXDownload
180Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic. Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong, Florian Mansmann. J. Network Syst. Manage. (18): 232-236 (2010). Web SearchBibTeXDownload
179Enhancing document structure analysis using visual analytics. Andreas Stoffel, David Spretke, Henrik Kinnemann, Daniel A. Keim. SAC 2010, 8-12. Web SearchBibTeXDownload
178From Visualization to Visually Enabled Reasoning. Joerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, Daniel A. Keim. Scientific Visualization: Advanced Concepts 2010, 227-245. Web SearchBibTeXDownload
177Visual analytics of large multidimensional data using variable binned scatter plots. Ming C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko. VDA 2010, 753006. Web SearchBibTeXDownload
176Methods for Interactive Exploration of Large-Scale News Streams. Daniel A. Keim, Milos Krstajic, Peter Bak, Daniela Oelke, Florian Mansmann. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010, 139-154. Web SearchBibTeXDownload
175Applied Visual Exploration on Real-time News Feeds using Polarity and Geo-spatial Analysis. Milos Krstajic, Peter Bak, Daniela Oelke, Daniel A. Keim, Martin Atkinson, William Ribarsky. WEBIST (1) 2010, 263-268. Web SearchBibTeX
2009
174Visual support for analyzing network traffic and intrusion detection events using TreeMap and graph representations. Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North. CHIMIT 2009. Web SearchBibTeXDownload
173Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks. Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel. DFN-Forum Kommunikationstechnologien 2009, 115-124. Web SearchBibTeXDownload
172Dense Pixel Displays. Daniel A. Keim, Peter Bak, Matthias Schäfer. Encyclopedia of Database Systems 2009, 789-795. Web SearchBibTeXDownload
171Visual Analytics. Oliver Deussen, Thomas Ertl, Andreas Stoffel, Hartmut Ziegler. Encyclopedia of Database Systems 2009, 3341-3346. Web SearchBibTeXDownload
170Analysis of community-contributed space-and time-referenced data (example of Panoramio photos). Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim. GIS 2009, 540-541. Web SearchBibTeXDownload
169JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images. Jianping Fan, Daniel A. Keim, Yuli Gao, Hangzai Luo, Zongmin Li. IEEE Trans. Circuits Syst. Video Techn. (19): 273-288 (2009). Cited by 4Web SearchBibTeXDownload
168An Interactive Approach for Filtering Out Junk Images From Keyword-Based Google Search Results. Yuli Gao, Jinye Peng, Hangzai Luo, Daniel A. Keim, Jianping Fan. IEEE Trans. Circuits Syst. Video Techn. (19): 1851-1865 (2009). Web SearchBibTeXDownload
167Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps. Peter Bak, Florian Mansmann, Halldor Janetzko, Daniel A. Keim. IEEE Trans. Vis. Comput. Graph. (15): 913-920 (2009). Cited by 1Web SearchBibTeXDownload
166Document Cards: A Top Trumps Visualization for Documents. Hendrik Strobelt, Daniela Oelke, Christian Rohrdantz, Andreas Stoffel, Daniel A. Keim, Oliver Deussen. IEEE Trans. Vis. Comput. Graph. (15): 1145-1152 (2009). Web SearchBibTeXDownload
165Poster: Visual prediction of time series. Ming C. Hao, Halldór Janetzko, Ratnesh K. Sharma, Umeshwar Dayal, Daniel A. Keim, Malú Castellanos. IEEE VAST 2009, 229-230. Web SearchBibTeXDownload
164Integrative visual analytics for suspicious behavior detection. Peter Bak, Christian Rohrdantz, Svenja Leifert, Christoph Granacher, Stefan Koch, Simon Butscher, Patrick Jungk, Daniel A. Keim. IEEE VAST 2009, 253-254. Web SearchBibTeXDownload
163Visual opinion analysis of customer feedback data. Daniela Oelke, Ming C. Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko. IEEE VAST 2009, 187-194. Web SearchBibTeXDownload
162Combining automated analysis and visualization techniques for effective exploration of high-dimensional data. Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Jörn Schneidewind, Holger Theisel, Marcus Magnork, Daniel A. Keim. IEEE VAST 2009, 59-66. Web SearchBibTeXDownload
161Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos). Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim. IEEE VAST 2009, 213-214. Web SearchBibTeXDownload
160Scale and complexity in visual analytics. George G. Robertson, David S. Ebert, Stephen G. Eick, Daniel A. Keim, Ken Joy. Information Visualization (8): 247-253 (2009). Web SearchBibTeXDownload
159Personalized News Video Recommendation. Hangzai Luo, Jianping Fan, Daniel A. Keim, Shin'ichi Satoh. MMM 2009, 459-471. Web SearchBibTeXDownload
158Analyzing Document Collections via Context-Aware Term Extraction. Daniel A. Keim, Daniela Oelke, Christian Rohrdantz. NLDB 2009, 154-168. Web SearchBibTeXDownload
157Visual analytics: how much visualization and how much analytics?. Daniel A. Keim, Florian Mansmann, Jim Thomas. SIGKDD Explorations (11): 5-8 (2009). Web SearchBibTeXDownload
156Visual analytics of anomaly detection in large data streams. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Ratnesh K. Sharma, Abhay Mehta. VDA 2009, 72430. Web SearchBibTeXDownload
155Analysis of Community-contributed Space- and Timereferenced Data by Example of Panoramio Photos. Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim. VMV 2009, 323-330. Web SearchBibTeX
2008
154Personalized news video recommendation. Hangzai Luo, Jianping Fan, Daniel A. Keim. ACM Multimedia 2008, 1001-1002. Web SearchBibTeXDownload
153Visual Analytics: Combining Automated Discovery with Interactive Visualizations. Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler. ALT 2008, 2. Cited by 2Web SearchBibTeXDownload
152Density Displays for Data Stream Monitoring. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Daniela Oelke, Chantal Tremblay. Comput. Graph. Forum (27): 895-902 (2008). Cited by 1Web SearchBibTeXDownload
151COPERNICUS: Context-Preserving Engine for Route Navigation with Interactive User-modifiable Scaling. Hartmut Ziegler, Daniel A. Keim. Comput. Graph. Forum (27): 927-934 (2008). Web SearchBibTeXDownload
150Indexing, X-Tree. Daniel A. Keim, Benjamin Bustos, Stefan Berchtold, Hans-Peter Kriegel. Encyclopedia of GIS 2008, 543-547. Web SearchBibTeXDownload
149Visual evaluation of text features for document summarization and analysis. Daniela Oelke, Peter Bak, Daniel A. Keim, Mark Last, Guy Danon. IEEE VAST 2008, 75-82. Web SearchBibTeXDownload
148Personalized News Video Recommendation Via Interactive Exploration. Jianping Fan, Hangzai Luo, Aoying Zhou, Daniel A. Keim. ISVC (2) 2008, 380-389. Web SearchBibTeXDownload
147Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments. Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim. IV 2008, 287-295. Web SearchBibTeXDownload
146A novel approach to enable semantic and visual image summarization for exploratory image search. Jianping Fan, Yuli Gao, Hangzai Luo, Daniel A. Keim, Zongmin Li. Multimedia Information Retrieval 2008, 358-365. Cited by 2Web SearchBibTeXDownload
145Towards automatic feature vector optimization for multimedia applications. Tobias Schreck, Dieter W. Fellner, Daniel A. Keim. SAC 2008, 1197-1201. Cited by 2Web SearchBibTeXDownload
144Visual Analytics: Scope and Challenges. Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Jim Thomas, Hartmut Ziegler. Visual Data Mining 2008, 76-90. Cited by 12Web SearchBibTeXDownload
143Large-Scale Network Monitoring for Visual Analysis of Attacks. Fabian Fischer, Florian Mansmann, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel. VizSEC 2008, 111-118. Cited by 6Web SearchBibTeXDownload
2007
142Hierarchy-driven Visual Exploration of Multidimensional Data Cubes. Svetlana Mansmann, Florian Mansmann, Marc H. Scholl, Daniel A. Keim. BTW 2007, 96-111. Cited by 2Web SearchBibTeXDownload
141Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-Datenbanken. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Andrada Tatu. Datenbank-Spektrum (20): 23-32 (2007). Web SearchBibTeXDownload
140DelosDLMS - The Integrated DELOS Digital Library Management System. 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. DELOS Conference 2007, 36-45. Cited by 11Web SearchBibTeXDownload
139Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck. EuroVis 2007, 27-34. Cited by 6Web SearchBibTeXDownload
138Relevance Driven Visualization of Financial Performance Measures. Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim. EuroVis 2007, 19-26. Cited by 3Web SearchBibTeXDownload
137Content-Based 3D Object Retrieval. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck. IEEE Computer Graphics and Applications (27): 22-27 (2007). Cited by 32Web SearchBibTeXDownload
136Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. Florian Mansmann, Daniel A. Keim, Stephen C. North, Brian Rexroad, Daniel Sheleheda. IEEE Trans. Vis. Comput. Graph. (13): 1105-1112 (2007). Cited by 11Web SearchBibTeXDownload
135Value-Cell Bar Charts for Visualizing Large Transaction Data Sets. Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Martha Lyons. IEEE Trans. Vis. Comput. Graph. (13): 822-833 (2007). Cited by 2Web SearchBibTeXDownload
134Literature Fingerprinting: A New Method for Visual Literary Analysis. Daniel A. Keim, Daniela Oelke. IEEE VAST 2007, 115-122. Web SearchBibTeXDownload
133Intelligent Visual Analytics Queries. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, D. Morent, Jörn Schneidewind. IEEE VAST 2007, 91-98. Web SearchBibTeXDownload
132Outlook for Visual Analytics Research Funding. Jim Thomas, Daniel A. Keim, Joe Kielman, Larry Rosenblum. IEEE VAST 2007, 227. Web SearchBibTeXDownload
131An automated approach for the optimization of pixel-based visualizations. Jörn Schneidewind, Mike Sips, Daniel A. Keim. Information Visualization (6): 75-88 (2007). Cited by 3Web SearchBibTeXDownload
130Geovisual analytics for spatial decision support: Setting the research agenda. Gennady L. Andrienko, Natalia V. Andrienko, Piotr Jankowski, Daniel A. Keim, Menno-Jan Kraak, Alan M. MacEachren, Stefan Wrobel. International Journal of Geographical Information Science (21): 839-857 (2007). Web SearchBibTeXDownload
129Highlighting space-time patterns: Effective visual encodings for interactive decision-making. Mike Sips, Jörn Schneidewind, Daniel A. Keim. International Journal of Geographical Information Science (21): 879-893 (2007). Web SearchBibTeXDownload
128Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps. Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim. IV 2007, 308-315. Cited by 3Web SearchBibTeXDownload
12707291 Summary - Scientific Visualization. David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim. Scientific Visualization 2007. Web SearchBibTeXDownload
12607291 Abstracts Collection - Scientific Visualization. David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim. Scientific Visualization 2007. Web SearchBibTeXDownload
125Visualization of Host Behavior for Network Security. F. Mansman, L. Meier, Daniel A. Keim. VizSEC 2007, 187-202. Cited by 1Web SearchBibTeXDownload
124Visualizing large-scale IP traffic flows. Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North. VMV 2007, 23-30. Cited by 5Web SearchBibTeX
2006
123Task-at-hand interface for change detection in stock market data. Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence. AVI 2006, 420-427. Web SearchBibTeXDownload
122A Spectral Visualization System for Analyzing Financial Time Series Data. Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler. EuroVis 2006, 195-202. Cited by 9Web SearchBibTeXDownload
121Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering. Tobias Schreck, Daniel A. Keim, Christian Panse. ICME 2006, 925-928. Cited by 11Web SearchBibTeXDownload
120Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North. IEEE Trans. Vis. Comput. Graph. (12): 749-756 (2006). Cited by 9Web SearchBibTeXDownload
119Guest Editorial: Special Section on Visual Analytics. Daniel A. Keim, George G. Robertson, James J. Thomas, Jarke J. van Wijk. IEEE Trans. Vis. Comput. Graph. (12): 1361-1362 (2006). Cited by 5Web SearchBibTeXDownload
118Pixnostics: Towards Measuring the Value of Visualization. Jörn Schneidewind, Mike Sips, Daniel A. Keim. IEEE VAST 2006, 199-206. Web SearchBibTeXDownload
117Monitoring Network Traffic with Radial Traffic Analyzer. Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Tobias Schreck. IEEE VAST 2006, 123-128. Web SearchBibTeXDownload
116Business process impact visualization and anomaly detection. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind. Information Visualization (5): 15-27 (2006). Cited by 13Web SearchBibTeXDownload
115A Graphics Hardware Accelerated Algorithm for Nearest Neighbor Search. Benjamin Bustos, Oliver Deussen, Stefan Hiller, Daniel A. Keim. International Conference on Computational Science (4) 2006, 196-199. Cited by 14Web SearchBibTeXDownload
114An experimental effectiveness comparison of methods for 3D similarity search. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic. Int. J. on Digital Libraries (6): 39-54 (2006). Cited by 39Web SearchBibTeXDownload
113Challenges in Visual Data Analysis. Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler. IV 2006, 9-16. Cited by 40Web SearchBibTeXDownload
112Scalable Pixel-based Visual Interfaces: Challenges and Solutions. Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann. IV 2006, 32-38. Cited by 4Web SearchBibTeXDownload
111European Research Forum Panel Session Envisioning Research Challenges in Visual Analytics. Mikael Jern, Ebad Banissi, Gennady L. Andrienko, Wolfgang Müller, Daniel A. Keim. IV 2006, 5-8. Web SearchBibTeXDownload
110Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus. LWA 2006, 322-329. Web SearchBibTeXDownload
109Scalable Pixel Based Visual Data Exploration. Daniel A. Keim, Jörn Schneidewind, Mike Sips. VIEW 2006, 12-24. Cited by 1Web SearchBibTeXDownload
2005
108Feature-based similarity search in 3D object databases. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic. ACM Comput. Surv. (37): 345-387 (2005). Cited by 116Web SearchBibTeXDownload
107MailSOM - Exploration of Electronic Mail Archives Using Self-Organizing Maps. Florian Mansmann, Tobias Schreck, Daniel A. Keim. CEAS 2005. Cited by 3Web SearchBibTeXDownload
106Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips. EuroVis 2005, 247-254. Cited by 8Web SearchBibTeXDownload
105VisBiz: A Business Process Visualization Case Study. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind. EuroVis 2005, 109-116. Web SearchBibTeXDownload
104Analyzing Electronic Mail Using Temporal, Spatial, and Content-based Visualization Techniques. Daniel A. Keim, Florian Mansmann, Tobias Schreck. GI Jahrestagung (1) 2005, 434-438. Web SearchBibTeXDownload
103Medial-Axis-Based Cartograms. Daniel A. Keim, Christian Panse, Stephen C. North. IEEE Computer Graphics and Applications (25): 60-68 (2005). Cited by 12Web SearchBibTeXDownload
102Importance-Driven Visualization Layouts for Large Time Series Data. Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck. INFOVIS 2005, 27. Cited by 12Web SearchBibTeXDownload
101Scalable Visual Data Exploration of Large Data Sets via MultiResolution. Daniel A. Keim, Jörn Schneidewind. J. UCS (11): 1766-1779 (2005). Cited by 3Web SearchBibTeXDownload
100A pivot-based index structure for combination of feature vectors. Benjamin Bustos, Daniel A. Keim, Tobias Schreck. SAC 2005, 1180-1184. Cited by 11Web SearchBibTeXDownload
2004
99An Experimental Comparison of Feature-Based 3D Retrieval Methods. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic. 3DPVT 2004, 215-222. Cited by 18Web SearchBibTeXDownload
98CircleView: a new approach for visualizing time-related multidimensional data sets. Daniel A. Keim, Jörn Schneidewind, Mike Sips. AVI 2004, 179-182. Cited by 18Web SearchBibTeXDownload
97Pixel based visual data mining of geo-spatial data. Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North. Computers & Graphics (28): 327-344 (2004). Cited by 23Web SearchBibTeXDownload
96Data Mining und Data Warehousing. Daniel A. Keim, Wolfgang Lehner. Datenbank-Spektrum (9): 5 (2004). Web SearchBibTeX
95Similarity Search in Multimedia Databases. Daniel A. Keim, Benjamin Bustos. ICDE 2004, 873. Cited by 13Web SearchBibTeXDownload
94Using entropy impurity for improved 3D object similarity search. Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic. ICME 2004, 1303-1306. Cited by 27Web SearchBibTeX
93Visual Data Mining in Large Geospatial Point Sets. Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North. IEEE Computer Graphics and Applications (24): 36-44 (2004). Cited by 26Web SearchBibTeXDownload
92CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. Daniel A. Keim, Stephen C. North, Christian Panse. IEEE Trans. Vis. Comput. Graph. (10): 95-110 (2004). Cited by 40Web SearchBibTeXDownload
91Guest Editor's Introduction: Special Section on InfoVis. Daniel A. Keim, Tamara Munzner, Stephen C. North. IEEE Trans. Vis. Comput. Graph. (10): 446 (2004). Web SearchBibTeXDownload
902D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. Benjamin Bustos, Daniel A. Keim, Christian Panse, Tobias Schreck. IEEE Visualization 2004, 2. Cited by 9Web SearchBibTeXDownload
89VisBiz: A Simplified Visualization of Business Operation. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal. IEEE Visualization 2004, 1. Web SearchBibTeXDownload
88Analyzing Large Collections of Email. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips. IKE 2004, 275-281. Web SearchBibTeX
87Exploring and Visualizing the History of InfoVis. Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips. INFOVIS 2004. Cited by 3Web SearchBibTeXDownload
86Interactive Poster: Visual Mining of Business Process Data. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind. INFOVIS 2004. Web SearchBibTeXDownload
85RecMap: Rectangular Map Approximations. Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips. INFOVIS 2004, 33-40. Cited by 24Web SearchBibTeXDownload
84Introduction to special issue with best papers from KDD 2002. Daniel A. Keim, Nick Koudas. Inf. Syst. (29): 271-272 (2004). Web SearchBibTeXDownload
83Wissenschaftliche Visualisierung. Daniel A. Keim, Thomas Ertl. it - Information Technology (46): 109-110 (2004). Web SearchBibTeXDownload
82Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte. Thomas Ertl, Daniel A. Keim. it - Information Technology (46): 148-153 (2004). Web SearchBibTeXDownload
81Multiresolution similarity search in image databases. Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. Multimedia Syst. (10): 28-40 (2004). Cited by 3Web SearchBibTeXDownload
80Pattern management challenges. Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet. PaRMa 2004. Cited by 9Web SearchBibTeXDownload
79Identifying Most Predictive Items. Markus Wawryniuk, Daniel A. Keim. PaRMa 2004. Cited by 1Web SearchBibTeXDownload
78Finding Spatial Patterns in Network Data. Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips. PaRMa 2004. Web SearchBibTeXDownload
77Shape-Embedded-Histograms for Visual Data Mining. Amihood Amir, Reuven Kashi, Daniel A. Keim, Nathan S. Netanyahu, Markus Wawryniuk. VisSym 2004, 55-64, 341. Web SearchBibTeX
76Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips. WSCG 2004, 213-220. Cited by 8Web SearchBibTeX
2003
75Guest Editorial. Darrell Conklin, Tadeusz A. Wysocki, Hamid Sharif, L. C. Gundersen, P. P. Leahy, W. Hill, Jyh-Horng Wen, Shiuh-Jeng Wang, Yuh-Ren Tsai, Keh-Ming Lu. Data Min. Knowl. Discov. (7): 239-240 (2003). Cited by 2Web SearchBibTeXDownload
74Visual interaction to solving complex optimization problems. Alexander Hinneburg, Daniel A. Keim. Data Visualization: The State of the Art 2003, 407-422. Cited by 3Web SearchBibTeX
73Visual Data Mining of Large Spatial Data Sets. Daniel A. Keim, Christian Panse, Mike Sips. DNIS 2003, 201-215. Cited by 6Web SearchBibTeXDownload
72HD-Eye - Visual Clustering of High dimensional Data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. ICDE 2003, 753-755. Web SearchBibTeXDownload
71PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North. ICDM 2003, 565-568. Cited by 11Web SearchBibTeXDownload
70Analyzing High-Dimensional Data by Subspace Validity. Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, Daniel A. Keim, Markus Wawryniuk. ICDM 2003, 473-476. Cited by 2Web SearchBibTeXDownload
69Visualizing geographic information: VisualPoints vs. CartoDraw. Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind. Information Visualization (2): 58-67 (2003). Cited by 10Web SearchBibTeXDownload
68Pushing the Limit in Visual Data Exploration: Techniques and Applications. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal. KI 2003, 37-51. Cited by 11Web SearchBibTeXDownload
67A General Approach to Clustering in Large Databases with Noise. Alexander Hinneburg, Daniel A. Keim. Knowl. Inf. Syst. (5): 387-415 (2003). Cited by 35Web SearchBibTeXDownload
66A Database Striptease or How to Manage Your Personal Databases. Martin L. Kersten, Gerhard Weikum, Michael J. Franklin, Daniel A. Keim, Alejandro P. Buchmann, Surajit Chaudhuri. VLDB 2003, 1043-1044. Cited by 19Web SearchBibTeXDownload
2002
65Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic. Datenbank-Spektrum (2): 54-63 (2002). Cited by 16Web SearchBibTeX
64Datenvisualisierung und Data Mining. Daniel A. Keim. Datenbank-Spektrum (2): 30-39 (2002). Cited by 14Web SearchBibTeX
63Hierarchical Pixel Bar Charts. Daniel A. Keim, Ming C. Hao, Umeshwar Dayal. IEEE Trans. Vis. Comput. Graph. (8): 255-269 (2002). Cited by 31Web SearchBibTeXDownload
62Information Visualization and Visual Data Mining. Daniel A. Keim. IEEE Trans. Vis. Comput. Graph. (8): 1-8 (2002). Cited by 463Web SearchBibTeXDownload
61Pixel bar charts: a visualization technique for very large multi-attribute data sets?. Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Meichun Hsu. Information Visualization (1): 20-34 (2002). Cited by 41Web SearchBibTeXDownload
60Efficient Cartogram Generation: A Comparison. Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind. INFOVIS 2002, 33-36. Web SearchBibTeXDownload
59Multi-Resolution Similarity Search in Image Databases. Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk. Multimedia Information Systems 2002, 76-85. Cited by 4Web SearchBibTeX
58Visual Data Mining - KDD Workshop Report. Stephen G. Eick, Daniel A. Keim. SIGKDD Explorations (3): 70 (2002). Web SearchBibTeXDownload
57HD-Eye: visual clustering of high dimensional data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. SIGMOD Conference 2002, 629. Cited by 4Web SearchBibTeXDownload
2001
56Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. Christian Böhm, Stefan Berchtold, Daniel A. Keim. ACM Comput. Surv. (33): 322-373 (2001). Cited by 525Web SearchBibTeXDownload
55Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic. BTW 2001, 384-401. Cited by 16Web SearchBibTeX
54Visual exploration of large data sets. Daniel A. Keim. Commun. ACM (44): 38-44 (2001). Cited by 124Web SearchBibTeXDownload
53On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim. ICDT 2001, 420-434. Cited by 281Web SearchBibTeXDownload
52On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Florian Krebs, Hans-Peter Kriegel. ICDT 2001, 435-449. Cited by 26Web SearchBibTeXDownload
51Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation. Daniel A. Keim, Ming C. Hao, Julian Ladisch, Meichun Hsu, Umeshwar Dayal. INFOVIS 2001, 113-120. Cited by 20Web SearchBibTeXDownload
2000
50Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt. BIBE 2000, 43-49. Web SearchBibTeXDownload
49Optimal Multidimensional Query Processing Using Tree Striping. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel, Xiaowei Xu. DaWaK 2000, 244-257. Cited by 20Web SearchBibTeXDownload
48Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval. Martin Heczko, Daniel A. Keim, Roger Weber. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries 2000. Cited by 4Web SearchBibTeXDownload
47Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications. Stefan Berchtold, Daniel A. Keim. ICDE 2000, 698-699. Cited by 9Web SearchBibTeXDownload
46Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. IEEE Trans. Knowl. Data Eng. (12): 45-57 (2000). Cited by 49Web SearchBibTeXDownload
45Designing Pixel-Oriented Visualization Techniques: Theory and Applications. Daniel A. Keim. IEEE Trans. Vis. Comput. Graph. (6): 59-78 (2000). Cited by 175Web SearchBibTeXDownload
44Interesting KDD-News from SIGMOD'99. Daniel A. Keim, Alexander Hinneburg. SIGKDD Explorations (1): 117 (2000). Web SearchBibTeX
43Datenbank- und Visualisierungstechnologien in der Informationsfusion. Gunter Saake, Kai-Uwe Sattler, Daniel A. Keim. SimVis 2000, 1-14. Web SearchBibTeX
42What Is the Nearest Neighbor in High Dimensional Spaces?. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim. VLDB 2000, 506-515. Cited by 237Web SearchBibTeXDownload
1999
41Visualizing Large Telecommunication Data Sets. Eleftherios Koutsofios, Stephen C. North, Daniel A. Keim. IEEE Computer Graphics and Applications (19): 16-19 (1999). Web SearchBibTeXDownload
40HD-Eye: Visual Mining of High-Dimensional Data. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk. IEEE Computer Graphics and Applications (19): 22-31 (1999). Web SearchBibTeXDownload
39Visualizing Large-Scale Telecommunication Networks and Services. Eleftherios Koutsofios, Stephen C. North, Russell Truscott, Daniel A. Keim. IEEE Visualization 1999, 457-461. Cited by 43Web SearchBibTeXDownload
38Clustering Techniques for Large Data Sets - from the Past to the Future. Daniel A. Keim, Alexander Hinneburg. KDD Tutorial Notes 1999, 141-181. Cited by 14Web SearchBibTeXDownload
37Efficient Geometry-based Similarity Search of 3D Spatial Databases. Daniel A. Keim. SIGMOD Conference 1999, 419-430. Cited by 61Web SearchBibTeXDownload
36Clustering Methods for Large Databases: From the Past to the Future. Alexander Hinneburg, Daniel A. Keim. SIGMOD Conference 1999, 509. Cited by 17Web SearchBibTeXDownload
35Visual Data Exploration (Tutorial). Daniel A. Keim. SimVis 1999, 397-400. Web SearchBibTeX
34Visual Exploration of Large Telecommunication Data Sets. Daniel A. Keim, Eleftherios Koutsofios, Stephen C. North. UIDIS 1999, 12-20. Cited by 5Web SearchBibTeXDownload
33Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. Alexander Hinneburg, Daniel A. Keim. VLDB 1999, 506-517. Cited by 223Web SearchBibTeXDownload
1998
32Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt. German Conference on Bioinformatics 1998. Web SearchBibTeX
31Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. Daniel A. Keim. GI Jahrestagung 1998, 23-32. Web SearchBibTeX
30Section Coding: A Similarity Search Technique for the Car Manufacturing Industry. Stefan Berchtold, Daniel A. Keim. IADT 1998, 256-263. Web SearchBibTeX
29Fast Nearest Neighbor Search in High-Dimensional Space. Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. ICDE 1998, 209-218. Cited by 119Web SearchBibTeXDownload
28The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data. Daniel A. Keim, Annemarie Herrmann. IEEE Visualization 1998, 181-188. Cited by 38Web SearchBibTeXDownload
27Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. Mihael Ankerst, Stefan Berchtold, Daniel A. Keim. INFOVIS 1998, 52-60. Cited by 91Web SearchBibTeXDownload
26An Efficient Approach to Clustering in Large Multimedia Databases with Noise. Alexander Hinneburg, Daniel A. Keim. KDD 1998, 58-65. Cited by 553Web SearchBibTeXDownload
25High-Dimensional Index Structures, Database Support for Next Decade's Applications (Tutorial). Stefan Berchtold, Daniel A. Keim. SIGMOD Conference 1998, 501. Cited by 37Web SearchBibTeXDownload
1997
24Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel. BTW 1997, 152-171. Web SearchBibTeX
23A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel. PODS 1997, 78-86. Cited by 373Web SearchBibTeXDownload
22Fast Parallel Similarity Search in Multimedia Databases. Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel A. Keim, Hans-Peter Kriegel. SIGMOD Conference 1997, 1-12. Cited by 162Web SearchBibTeXDownload
21Using Extended Feature Objects for Partial Similarity Retrieval. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel. VLDB J. (6): 333-348 (1997). Cited by 44Web SearchBibTeXDownload
1996
20Visualization Techniques for Mining Large Databases: A Comparison. Daniel A. Keim, Hans-Peter Kriegel. IEEE Trans. Knowl. Data Eng. (8): 923-938 (1996). Cited by 240Web SearchBibTeXDownload
19Databases and Visualization. Daniel A. Keim. SIGMOD Conference 1996, 543. Cited by 23Web SearchBibTeXDownload
18Pixel-oriented Database Visualizations. Daniel A. Keim. SIGMOD Record (25): 35-39 (1996). Cited by 38Web SearchBibTeXDownload
17The X-tree : An Index Structure for High-Dimensional Data. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel. VLDB 1996, 28-39. Cited by 1163Web SearchBibTeXDownload
1995
16Visualisierungstechniken zur Exploration und Analyse sehr großer Datenbanken. Daniel A. Keim, Hans-Peter Kriegel. BTW 1995, 262-281. Web SearchBibTeX
15Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. Daniel A. Keim, Mihael Ankerst, Hans-Peter Kriegel. IEEE Visualization 1995, 279-286. Cited by 122Web SearchBibTeXDownload
14VisDB: A System for Visualizing Large Databases. Daniel A. Keim, Hans-Peter Kriegel. SIGMOD Conference 1995, 482. Cited by 33Web SearchBibTeXDownload
13Possibilities and Limits in Visualizing Large Databases. Daniel A. Keim, Hans-Peter Kriegel. VDB 1995, 203-214. Cited by 11Web SearchBibTeX
12Enhancing the Visual Clustering of Query-Dependent Database Visualization techniques Using Screen-Filling Curves. Daniel A. Keim. Workshop on Database Issues for Data Visualization 1995, 101-110. Web SearchBibTeXDownload
11Database Issues for Data Visualization: Supporting Interactive Database Explorartion. Daniel A. Keim, John Peter Lee, Bhavani M. Thuraisingham, Craig M. Wittenbrink. Workshop on Database Issues for Data Visualization 1995, 12-25. Cited by 8Web SearchBibTeXDownload
1994
10Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems. Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam. CoopIS 1994, 203-214. Cited by 14Web SearchBibTeX
9Supporting Data Mining of Large Databases by Visual Feedback Queries. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. ICDE 1994, 302-313. Cited by 73Web SearchBibTeXDownload
1993
8Object-Oriented Querying of Existing Relations Databases. Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam. DEXA 1993, 325-336. Cited by 22Web SearchBibTeXDownload
7Visual Feedback in Querying Large Databases. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. IEEE Visualization 1993, 158-165. Cited by 26Web SearchBibTeXDownload
6Integration of Relational Databases in a Multidatabase System based on Schema Enrichment. Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam. RIDE-IMS 1993, 96-104. Cited by 15Web SearchBibTeXDownload
5Database Issues for Data Visualization: Interaction, User Interfaces, and Presentation. John Boyle, Stephen G. Eick, Matthias Hemmje, Daniel A. Keim, John Peter Lee, Eric E. Sumner Jr.. Workshop on Database Issues for Data Visualization 1993, 25-34. Cited by 7Web SearchBibTeXDownload
4Using Visualization to Support Data Mining of Large Existing Databases. Daniel A. Keim, Hans-Peter Kriegel. Workshop on Database Issues for Data Visualization 1993, 210-229. Cited by 16Web SearchBibTeXDownload
1992
3GRADI: A Graphical Database Interface for a Multimedia DBMS. Daniel A. Keim, Vincent Y. Lum. IDS 1992, 95-112. Cited by 8Web SearchBibTeX
2Visual Query Specification in a Multimedia Database System. Daniel A. Keim, Vincent Y. Lum. IEEE Visualization 1992, 194-201. Cited by 8Web SearchBibTeXDownload
1991
1A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS. Daniel A. Keim, Kyung-Chang Kim, Vincent Y. Lum. DEXA 1991, 102-111. Cited by 5Web SearchBibTeX
from DBLP and Google Scholar
References
1. ^ The 2010 ACM SIGMOD/PODS Conference: Indianapolis, Indiana, USA - Organization: SIGMOD Program Committee - Retrieved 2011-03-19 - details
2. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
3. ^ The ACM SIGMOD/PODS Conference: Vancouver, 2008 - SIGMOD Program Committee - Retrieved 2009-11-21 - details
4. ^ KDD 2006 Conference - Organizers - Retrieved 2011-03-19 - details
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