Daniel A. Keim - researchr alias

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2011

Challenging problems of geospatial visual analyticsGennady L. Andrienko, Natalia V. Andrienko, Daniel A. Keim, Alan M. MacEachren, Stefan Wrobel. vlc, 22(4):251-256, 2011. [doi]

A conceptual framework and taxonomy of techniques for analyzing movementGennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Slava Kisilevich, Stefan Wrobel. vlc, 22(3):213-232, 2011. [doi]

A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time SeriesMing C. Hao, Halldór Janetzko, S. Mittelstädt, W. Hill, Umeshwar Dayal, Daniel A. Keim, Manish Marwah, Ratnesh K. Sharma. cgf, 30(3):691-700, 2011. [doi]

Visual Boosting in Pixel-based VisualizationsDaniela Oelke, Halldor Janetzko, Svenja Simon, Klaus Neuhaus, Daniel A. Keim. cgf, 30(3):871-880, 2011. [doi]

Towards Tracking Semantic Change by Visual AnalyticsChristian Rohrdantz, Annette Hautli, Thomas Mayer, Miriam Butt, Daniel A. Keim, Frans Plank. acl 2011: 305-310 [doi]

Automated Analytical Methods to Support Visual Exploration of High-Dimensional DataAndrada Tatu, Georgia Albuquerque, Martin Eisemann, Peter Bak, Holger Theisel, Marcus A. Magnor, Daniel A. Keim. tvcg, 17(5):584-597, 2011. [doi]

Geodesic distances for web document clusteringSelma Tekir, Florian Mansmann, Daniel A. Keim. cidm 2011: 15-21 [doi]

::::ForAVis::::: explorative user forum analysisFranz Wanner, Thomas Ramm, Daniel A. Keim. wims 2011: 14 [doi]

2010

Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal PatternsGennady L. Andrienko, Natalia V. Andrienko, Sebastian Bremm, Tobias Schreck, Tatiana Von Landesberger, Peter Bak, Daniel A. Keim. cgf, 29(3):913-922, 2010. [doi]

A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usageGennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Sebastian Bremm, Daniel A. Keim, Tatiana Von Landesberger, Christian Pölitz, Tobias Schreck. jlbs, 4(3&4):200-221, 2010. [doi]

Visualisierung auf Großbildschirmen - Herausforderung eines neuen AusgabegerätsOliver Deussen, Heinrich H. Bülthoff, Thomas Ertl, Daniel A. Keim, Bernd Lintermann, Harald Reiterer, Andreas Schilling. insk, 33(6):551-558, 2010. [doi]

Visual AnalyticsOliver Deussen, Thomas Ertl, Daniel A. Keim. insk, 33(6):549, 2010. [doi]

Visual analysis of frequent patterns in large time seriesMing C. Hao, Manish Marwah, Halldor Janetzko, Daniel A. Keim, Umeshwar Dayal, Ratnesh K. Sharma, Debprakash Patnaik, Naren Ramakrishnan. ieeevast 2010: 227-228 [doi]

Visual analytics of large multidimensional data using variable binned scatter plotsMing C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko. vda 2010: 753006 [doi]

Variable binned scatter plotsMing C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko. ivs, 9(3):194-203, 2010. [doi]

Application of Visual Analytics for Thermal State Management in Large Data CentresMing C. Hao, Ratnesh K. Sharma, Daniel A. Keim, Umeshwar Dayal, Chandrakant D. Patel, Ravigopal Vennelakanti. cgf, 29(6):1895-1904, 2010. [doi]

Advanced visual analytics interfacesDaniel A. Keim, Peter Bak, Enrico Bertini, Daniela Oelke, David Spretke, Hartmut Ziegler. avi 2010: 3-10 [doi]

Report on the Dagstuhl Seminar on Visualization and Monitoring of Network TrafficDaniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong, Florian Mansmann. jnsm, 18(2):232-236, 2010. [doi]

Generalized scatter plotsDaniel A. Keim, Ming C. Hao, Umeshwar Dayal, Halldor Janetzko, Peter Bak. ivs, 9(4):301-311, 2010. [doi]

Developing Analytical GIS Applications with GEO-SPADE: Three Success Case StudiesSlava Kisilevich, Daniel A. Keim, Amit Lasry, Leon Bam, Lior Rokach. ICEIS 2011: 495-511 [doi]

GEO-SPADE - A Generic Google Earth-based Framework for Analyzing and Exploring Spatio-temporal DataSlava Kisilevich, Daniel A. Keim, Lior Rokach. ICEIS 2010: 13-20

Beautiful picture of an ugly place . Exploring photo collections using opinion and sentiment analysis of user commentsSlava Kisilevich, Christian Rohrdantz, Daniel A. Keim. imcsit 2010: 419-428 [doi]

Event-Based Analysis of People s Activities and Behavior Using Flickr and Panoramio Geotagged Photo CollectionsSlava Kisilevich, Milos Krstajic, Daniel A. Keim, Natalia V. Andrienko, Gennady L. Andrienko. IV 2010: 289-296 [doi]

P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photosSlava Kisilevich, Florian Mansmann, Daniel A. Keim. comgeo 2010: [doi]

Processing online news streams for large-scale semantic analysisMilos Krstajic, Florian Mansmann, Andreas Stoffel, Martin Atkinson, Daniel A. Keim. icde 2010: 215-220 [doi]

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

Visualisierung und Analyse multidimensionaler DatensätzeDirk J. Lehmann, Georgia Albuquerque, Martin Eisemann, Andrada Tatu, Daniel A. Keim, Heidrun Schumann, Marcus A. Magnor, Holger Theisel. insk, 33(6):589-600, 2010. [doi]

The state of visual analytics: Views on what visual analytics is and where it is goingRichard May, Pat Hanrahan, Daniel A. Keim, Ben Shneiderman, Stuart K. Card. ieeevast 2010: 257-259 [doi]

From Visualization to Visually Enabled ReasoningJoerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, Daniel A. Keim. dagstuhl 2010: 227-245 [doi]

Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral GenomesKlaus Neuhaus, Daniela Oelke, David Fürst, Siegfried Scherer, Daniel A. Keim. evoW 2010: 228-239 [doi]

Visual readability analysis: How to make your writings easier to readDaniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim. ieeevast 2010: 123-130 [doi]

Visuelle Textanalyse - Interaktive Exploration von semantischen InhaltenChristian Rohrdantz, Steffen Koch, Charles Jochim, Gerhard Heyer, Gerik Scheuermann, Thomas Ertl, Hinrich Schütze, Daniel A. Keim. insk, 33(6):601-611, 2010. [doi]

Enhancing document structure analysis using visual analyticsAndreas Stoffel, David Spretke, Henrik Kinnemann, Daniel A. Keim. SAC 2010: 8-12 [doi]

Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional dataAndrada Tatu, Peter Bak, Enrico Bertini, Daniel A. Keim, Jörn Schneidewind. avi 2010: 49-56 [doi]

Interactive Data Visualization - Foundations, Techniques, and ApplicationsMatthew O. Ward, Georges G. Grinstein, Daniel A. Keim. A K Peters, 2010. [doi]

Visual market sector analysis for financial time series dataHartmut Ziegler, Marco Jenny, Tino Gruse, Daniel A. Keim. ieeevast 2010: 83-90 [doi]

2009

Analysis of Community-contributed Space- and Timereferenced Data by Example of Panoramio PhotosGennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim. vmv 2009: 323-330

Analysis 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. ieeevast 2009: 213-214 [doi]

Analysis 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 [doi]

Integrative visual analytics for suspicious behavior detectionPeter Bak, Christian Rohrdantz, Svenja Leifert, Christoph Granacher, Stefan Koch, Simon Butscher, Patrick Jungk, Daniel A. Keim. ieeevast 2009: 253-254 [doi]

Spatiotemporal Analysis of Sensor Logs using Growth Ring MapsPeter Bak, Florian Mansmann, Halldor Janetzko, Daniel A. Keim. tvcg, 15(6):913-920, 2009. [doi]

JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr ImagesJianping Fan, Daniel A. Keim, Yuli Gao, Hangzai Luo, Zongmin Li. tcsv, 19(2):273-288, 2009. [doi]

An Interactive Approach for Filtering Out Junk Images From Keyword-Based Google Search ResultsYuli Gao, Jinye Peng, Hangzai Luo, Daniel A. Keim, Jianping Fan. tcsv, 19(12):1851-1865, 2009. [doi]

Poster: Visual prediction of time seriesMing C. Hao, Halldór Janetzko, Ratnesh K. Sharma, Umeshwar Dayal, Daniel A. Keim, Malú Castellanos. ieeevast 2009: 229-230 [doi]

Visual analytics of anomaly detection in large data streamsMing C. Hao, Umeshwar Dayal, Daniel A. Keim, Ratnesh K. Sharma, Abhay Mehta. vda 2009: 72430 [doi]

Visual analytics: how much visualization and how much analytics?Daniel A. Keim, Florian Mansmann, Jim Thomas. sigkdd, 11(2):5-8, 2009. [doi]

Analyzing Document Collections via Context-Aware Term ExtractionDaniel A. Keim, Daniela Oelke, Christian Rohrdantz. nldb 2010: 154-168 [doi]

Personalized News Video RecommendationHangzai Luo, Jianping Fan, Daniel A. Keim, Shin ichi Satoh. mmm 2009: 459-471 [doi]

Interactive Analysis of NetFlows for Misuse Detection in Large IP NetworksFlorian Mansmann, Fabian Fischer, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel. dfn 2009: 115-124

Visual support for analyzing network traffic and intrusion detection events using TreeMap and graph representationsFlorian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North. chimit 2009: [doi]

Visual opinion analysis of customer feedback dataDaniela Oelke, Ming C. Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko. ieeevast 2009: 187-194 [doi]

Scale and complexity in visual analyticsGeorge G. Robertson, David S. Ebert, Stephen G. Eick, Daniel A. Keim, Ken Joy. ivs, 8(4):247-253, 2009. [doi]

Document Cards: A Top Trumps Visualization for DocumentsHendrik Strobelt, Daniela Oelke, Christian Rohrdantz, Andreas Stoffel, Daniel A. Keim, Oliver Deussen. tvcg, 15(6):1145-1152, 2009. [doi]

Combining automated analysis and visualization techniques for effective exploration of high-dimensional dataAndrada Tatu, Georgia Albuquerque, Martin Eisemann, Jörn Schneidewind, Holger Theisel, Marcus A. Magnor, Daniel A. Keim. ieeevast 2009: 59-66 [doi]

2008

Proceedings of the Vision, Modeling, and Visualization Conference 2008, VMV 2008, Konstanz, Germany, October 8-10, 2008Oliver Deussen, Daniel A. Keim, Dietmar Saupe, editors, Aka GmbH, 2008.

Scientific Visualization, 15.07. - 20.07.2007David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim, editors, Volume 07291 of Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany, 2008.

Personalized News Video Recommendation Via Interactive ExplorationJianping Fan, Hangzai Luo, Aoying Zhou, Daniel A. Keim. isvc 2008: 380-389 [doi]

A novel approach to enable semantic and visual image summarization for exploratory image searchJianping Fan, Yuli Gao, Hangzai Luo, Daniel A. Keim, Zongmin Li. ismir 2008: 358-365 [doi]

Large-Scale Network Monitoring for Visual Analysis of AttacksFabian Fischer, Florian Mansmann, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel. vizsec 2008: 111-118 [doi]

Density Displays for Data Stream MonitoringMing C. Hao, Daniel A. Keim, Umeshwar Dayal, Daniela Oelke, Chantal Tremblay. cgf, 27(3):895-902, 2008. [doi]

Visual Analytics: Scope and ChallengesDaniel A. Keim, Florian Mansmann, Jörn Schneidewind, Jim Thomas, Hartmut Ziegler. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 76-90, Springer, 2008. [doi]

Visual Analytics: Combining Automated Discovery with Interactive VisualizationsDaniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler. alt 2008: 2 [doi]

Visual Analytics: Combining Automated Discovery with Interactive VisualizationsDaniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler. dis 2008: 2-14 [doi]

Personalized news video recommendationHangzai Luo, Jianping Fan, Daniel A. Keim. mm 2008: 1001-1002 [doi]

Visual evaluation of text features for document summarization and analysisDaniela Oelke, Peter Bak, Daniel A. Keim, Mark Last, Guy Danon. ieeevast 2008: 75-82 [doi]

Towards automatic feature vector optimization for multimedia applicationsTobias Schreck, Dieter W. Fellner, Daniel A. Keim. SAC 2008: 1197-1201 [doi]

COPERNICUS: Context-Preserving Engine for Route Navigation with Interactive User-modifiable ScalingHartmut Ziegler, Daniel A. Keim. cgf, 27(3):927-934, 2008. [doi]

Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term InvestmentsHartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim. IV 2008: 287-295 [doi]

2007

Geovisual analytics for spatial decision support: Setting the research agendaGennady L. Andrienko, Natalia V. Andrienko, Piotr Jankowski, Daniel A. Keim, Menno-Jan Kraak, Alan M. MacEachren, Stefan Wrobel. gis, 21(8):839-857, 2007. [doi]

Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-DatenbankenBenjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Andrada Tatu. dbsk, 20:23-32, 2007. [doi]

Content-Based 3D Object RetrievalBenjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck. cga, 27(4):22-27, 2007. [doi]

07291 Summary - Scientific VisualizationDavid S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim. dagstuhl 2008: [doi]

Multi-Resolution Techniques for Visual Exploration of Large Time-Series DataMing C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck. vissym 2007: 27-34 [doi]

Intelligent Visual Analytics QueriesMing C. Hao, Umeshwar Dayal, Daniel A. Keim, D. Morent, Jörn Schneidewind. ieeevast 2007: 91-98 [doi]

IntroductionDaniel A. Keim, Jörn Schneidewind. sigkdd, 9(2):3-4, 2007. [doi]

Literature Fingerprinting: A New Method for Visual Literary AnalysisDaniel A. Keim, Daniela Oelke. ieeevast 2007: 115-122 [doi]

Value-Cell Bar Charts for Visualizing Large Transaction Data SetsDaniel A. Keim, Ming C. Hao, Umeshwar Dayal, Martha Lyons. tvcg, 13(4):822-833, 2007. [doi]

IntroductionJörn Kohlhammer, Daniel A. Keim, David S. Ebert. cg, 31(3):314-315, 2007. [doi]

Visualization of Host Behavior for Network SecurityF. Mansman, L. Meier, Daniel A. Keim. vizsec 2008: 187-202 [doi]

Hierarchy-driven Visual Exploration of Multidimensional Data CubesSvetlana Mansmann, Florian Mansmann, Marc H. Scholl, Daniel A. Keim. btw 2007: 96-111 [doi]

Visualizing large-scale IP traffic flowsFlorian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North. vmv 2007: 23-30

Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security ThreatsFlorian Mansmann, Daniel A. Keim, Stephen C. North, Brian Rexroad, Daniel Sheleheda. tvcg, 13(6):1105-1112, 2007. [doi]

An automated approach for the optimization of pixel-based visualizationsJörn Schneidewind, Mike Sips, Daniel A. Keim. ivs, 6(1):75-88, 2007. [doi]

Highlighting space-time patterns: Effective visual encodings for interactive decision-makingMike Sips, Jörn Schneidewind, Daniel A. Keim. gis, 21(8):879-893, 2007. [doi]

Outlook for Visual Analytics Research FundingJim Thomas, Daniel A. Keim, Joe Kielman, Larry Rosenblum. ieeevast 2007: 227 [doi]

Relevance Driven Visualization of Financial Performance MeasuresHartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim. vissym 2007: 19-26 [doi]

Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional ColormapsHartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim. IV 2007: 308-315 [doi]

2006

A Graphics Hardware Accelerated Algorithm for Nearest Neighbor SearchBenjamin Bustos, Oliver Deussen, Stefan Hiller, Daniel A. Keim. iccS 2006: 196-199 [doi]

An experimental effectiveness comparison of methods for 3D similarity searchBenjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic. jodl, 6(1):39-54, 2006. [doi]

European Research Forum Panel Session Envisioning Research Challenges in Visual AnalyticsMikael Jern, Ebad Banissi, Gennady L. Andrienko, Wolfgang Müller, Daniel A. Keim. IV 2006: 5-8 [doi]

Guest Editorial: Special Section on Visual AnalyticsDaniel A. Keim, George G. Robertson, James J. Thomas, Jarke J. van Wijk. tvcg, 12(6):1361-1362, 2006. [doi]

Monitoring Network Traffic with Radial Traffic AnalyzerDaniel A. Keim, Florian Mansmann, Jörn Schneidewind, Tobias Schreck. ieeevast 2006: 123-128 [doi]

A Spectral Visualization System for Analyzing Financial Time Series DataDaniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler. vissym 2006: 195-202 [doi]

Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data ExplorationDaniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus. lwa 2006: 322-329 [doi]

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

Scalable Pixel Based Visual Data ExplorationDaniel A. Keim, Jörn Schneidewind, Mike Sips. view 2007: 12-24 [doi]

Task-at-hand interface for change detection in stock market dataCarmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence. avi 2006: 420-427 [doi]

Pixnostics: Towards Measuring the Value of VisualizationJörn Schneidewind, Mike Sips, Daniel A. Keim. ieeevast 2006: 199-206 [doi]

Scalable Pixel-based Visual Interfaces: Challenges and SolutionsMike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann. IV 2006: 32-38 [doi]

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