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Semantic ScholarDaniel A. Keim
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- affiliation: University of Konstanz, Germany
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2010 – today
- 2019
[j134]Juri Buchmüller, Dominik Jäckle, Eren Cakmak, Ulrik Brandes, Daniel A. Keim:
MotionRugs: Visualizing Collective Trends in Space and Time. IEEE Trans. Vis. Comput. Graph. 25(1): 76-86 (2019)- [j133]Mennatallah El-Assady, Fabian Sperrle, Oliver Deussen, Daniel A. Keim, Christopher Collins:
Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution. IEEE Trans. Vis. Comput. Graph. 25(1): 374-384 (2019) - [j132]Dominik Sacha, Matthias Kraus, Daniel A. Keim, Min Chen:
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning. IEEE Trans. Vis. Comput. Graph. 25(1): 385-395 (2019) - [c237]Manuel Stein, Daniel Seebacher, Tassilo Karge, Tom Polk, Michael Grossniklaus, Daniel A. Keim:
From Movement to Events: Improving Soccer Match Annotations. MMM (1) 2019: 130-142 - 2018
- [j131]Haim Levkowitz, John Fallon, José L. Encarnação, Catherine Plaisant, Jean Scholtz, Mark A. Whiting, Kristin A. Cook, Daniel A. Keim, Theresa-Marie Rhyne:
Remembering Georges Grinstein. IEEE Computer Graphics and Applications 38(3): 150-156 (2018) - [j130]Mennatallah El-Assady, Rita Sevastjanova, Daniel A. Keim, Christopher Collins:
ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics. Comput. Graph. Forum 37(3): 351-365 (2018) - [j129]Michael Behrisch, Michael Blumenschein, Nam Wook Kim, Lin Shao, Mennatallah El-Assady, Johannes Fuchs, Daniel Seebacher, Alexandra Diehl, Ulrik Brandes, Hanspeter Pfister, Tobias Schreck, Daniel Weiskopf, Daniel A. Keim:
Quality Metrics for Information Visualization. Comput. Graph. Forum 37(3): 625-662 (2018) - [j128]Natalia V. Andrienko, Tim Lammarsch, Gennady L. Andrienko, Georg Fuchs, Daniel A. Keim, Silvia Miksch, Alexander Rind:
Viewing Visual Analytics as Model Building. Comput. Graph. Forum 37(6): 275-299 (2018) - [j127]Hansi Senaratne, Manuel Müller, Michael Behrisch, Felipe Lalanne, Javier Bustos-Jiménez, Jörn Schneidewind, Daniel A. Keim, Tobias Schreck:
Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach. IEEE Trans. Intelligent Transportation Systems 19(5): 1537-1546 (2018) - [j126]Manuel Stein, Halldor Janetzko, Andreas Lamprecht, Thorsten Breitkreutz, Philipp Zimmermann, Bastian Goldlücke, Tobias Schreck, Gennady L. Andrienko, Michael Grossniklaus, Daniel A. Keim:
Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis. IEEE Trans. Vis. Comput. Graph. 24(1): 13-22 (2018) - [j125]Dominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck, Yuki Asano, Daniel A. Keim:
SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. IEEE Trans. Vis. Comput. Graph. 24(1): 120-130 (2018) - [j124]Mennatallah El-Assady, Rita Sevastjanova, Fabian Sperrle, Daniel A. Keim, Christopher Collins:
Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. 24(1): 382-391 (2018) - [j123]Wolfgang Jentner, Dominik Sacha, Florian Stoffel, Geoffrey P. Ellis, Leishi Zhang, Daniel A. Keim:
Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. The Visual Computer 34(9): 1225-1241 (2018) - [c236]Alexandra Diehl, Michael Hundt, Johannes Häussler, Daniel Seebacher, Siming Chen, Nida Cilasun, Daniel A. Keim, Tobias Schreck:
SocialOcean: Visual Analysis and Characterization of Social Media Bubbles. BDVA 2018: 1-11 - [c235]Mennatallah El-Assady, Fabian Sperrle, Rita Sevastjanova, Michael Sedlmair, Daniel A. Keim:
LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling Results. BDVA 2018: 1-10 - [c234]Manuel Stein, Thorsten Breitkreutz, Johannes Häussler, Daniel Seebacher, Christoph Niederberger, Tobias Schreck, Michael Grossniklaus, Daniel A. Keim, Halldor Janetzko:
Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis. BDVA 2018: 1-9 - [c233]Houssem Ben Lahmar, Melanie Herschel, Michael Blumenschein, Daniel A. Keim:
Provenance-Based Visual Data Exploration with EVLIN. EDBT 2018: 686-689 - [c232]Udo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim:
G-Rap: interactive text synthesis using recurrent neural network suggestions. ESANN 2018 - [c231]Norman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel A. Keim, Bela Gipp:
An Adaptive Image-based Plagiarism Detection Approach. JCDL 2018: 131-140 - [c230]Florian Stoffel, Hanna Post, Marcus Stewen, Daniel A. Keim:
polimaps: Supporting Predictive Policing with Visual Analytics. EuroVA@EuroVis 2018: 43-47 - [c229]Alexandra Diehl, Alfie Abdul-Rahman, Mennatallah El-Assady, Benjamin Bach, Daniel A. Keim, Min Chen:
VisGuides: A Forum for Discussing Visualization Guidelines. EuroVis (Short Papers) 2018: 61-65 - [c228]Wolfgang Jentner, Dominik Jäckle, Ulrich Engelke, Daniel A. Keim, Tobias Schreck:
A Concept for Consensus-based Ordering of Views. EuroVA@EuroVis 2018: 61-65 - [i13]Matthias Miller, Johannes Häußler, Matthias Kraus, Daniel A. Keim, Mennatallah El-Assady:
Analyzing Visual Mappings of Traditional and Alternative Music Notation. CoRR abs/1810.10814 (2018) - [i12]Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu:
Progressive Data Science: Potential and Challenges. CoRR abs/1812.08032 (2018) - 2017
- [j122]Florian Stoffel, Wolfgang Jentner, Michael Behrisch, Johannes Fuchs, Daniel A. Keim:
Interactive Ambiguity Resolution of Named Entities in Fictional Literature. Comput. Graph. Forum 36(3): 189-200 (2017) - [j121]Mennatallah El-Assady, Rita Sevastjanova, Bela Gipp, Daniel A. Keim, Christopher Collins:
NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations. Comput. Graph. Forum 36(3): 213-225 (2017) - [j120]Dominik Sacha, F. Al-amoody, Manuel Stein, Tobias Schreck, Daniel A. Keim, Gennady L. Andrienko, Halldór Janetzko:
Dynamic Visual Abstraction of Soccer Movement. Comput. Graph. Forum 36(3): 305-315 (2017) - [j119]Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing 268: 164-175 (2017) - [j118]Svenja Simon, Sebastian Mittelstädt, Bum Chul Kwon, Andreas Stoffel, Richard Landstorfer, Klaus Neuhaus, Anna Mühlig, Siegfried Scherer, Daniel A. Keim:
VisExpress: Visual exploration of differential gene expression data. Information Visualization 16(1): 48-73 (2017) - [j117]Valentin Gold, Mennatallah El-Assady, Annette Hautli-Janisz, Tina Bögel, Christian Rohrdantz, Miriam Butt, Katharina Holzinger, Daniel A. Keim:
Visual linguistic analysis of political discussions: Measuring deliberative quality. DSH 32(1): 141-158 (2017) - [j116]Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 23(1): 241-250 (2017) - [j115]Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Daniel A. Keim:
A Systematic Review of Experimental Studies on Data Glyphs. IEEE Trans. Vis. Comput. Graph. 23(7): 1863-1879 (2017) - [c227]Mennatallah El-Assady, Annette Hautli-Janisz, Valentin Gold, Miriam Butt, Katharina Holzinger, Daniel A. Keim:
Interactive Visual Analysis of Transcribed Multi-Party Discourse. ACL (System Demonstrations) 2017: 49-54 - [c226]Dominik Jäckle, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim, Harald Reiterer:
Interpretation of Dimensionally-reduced Crime Data: A Study with Untrained Domain Experts. VISIGRAPP (3: IVAPP) 2017: 164-175 - [c225]Christin Schätzle, Michael Hund, Frederik Dennig, Miriam Butt, Daniel A. Keim:
HistoBankVis: Detecting Language Change via Data Visualization. ListLang@NoDaLiDa 2017: 32-39 - [c224]Dominik Jäckle, Michael Hund, Michael Behrisch, Daniel A. Keim, Tobias Schreck:
Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces. VAST 2017: 1-12 - [c223]Juri Buchmüller, Wolfgang Jentner, Dirk Streeb, Daniel A. Keim:
ODIX: A Rapid Hypotheses Testing System for Origin-Destination Data IEEE VAST Challenge Award for Excellence in Spatio-temporal Graph Analytics. VAST 2017: 197-198 - [c222]Udo Schlegel, Alexandra Diehl, Daniel A. Keim:
SIZE: Satellite Image Zooming and Exploration. VAST 2017: 219-220 - [c221]Daniel Seebacher, Johannes Häußler, Manuel Stein, Halldor Janetzko, Tobias Schreck, Daniel A. Keim:
Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data. SISAP 2017: 324-332 - [c220]Leonel Merino, Johannes Fuchs, Michael Blumenschein, Craig Anslow, Mohammad Ghafari, Oscar Nierstrasz, Michael Behrisch, Daniel A. Keim:
On the Impact of the Medium in the Effectiveness of 3D Software Visualizations. VISSOFT 2017: 11-21 - [c219]Wolfgang Jentner, Mennatallah El-Assady, Bela Gipp, Daniel A. Keim:
Feature Alignment for the Analysis of Verbatim Text Transcripts. EuroVA@EuroVis 2017: 13-17 - [c218]Michael Hundt, Bruno Schneider, Mennatallah El-Assady, Daniel A. Keim, Alexandra Diehl:
Visual Analysis of Geolocated Echo Chambers in Social Media. EuroVis (Posters) 2017: 125-127 - [r4]Daniel A. Keim, Benjamin Bustos, Stefan Berchtold, Hans-Peter Kriegel:
Indexing, X-Tree. Encyclopedia of GIS 2017: 999-1004 - [i11]Daniel Seebacher, Johannes Häußler, Michael Hundt, Manuel Stein, Hannes Müller, Ulrich Engelke, Daniel A. Keim:
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species. CoRR abs/1710.07029 (2017) - [i10]Bruno Schneider, Dominik Jäckle, Florian Stoffel, Alexandra Diehl, Johannes Fuchs, Daniel A. Keim:
Visual Integration of Data and Model Space in Ensemble Learning. CoRR abs/1710.07322 (2017) - 2016
- [j114]Michael Hund, Dominic Böhm, Werner Sturm, Michael Sedlmair, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Majnaric, Andreas Holzinger:
Visual analytics for concept exploration in subspaces of patient groups. Brain Informatics 3(4): 233-247 (2016) - [j113]Manuel Stein, Halldor Janetzko, Thorsten Breitkreutz, Daniel Seebacher, Tobias Schreck, Michael Grossniklaus, Iain D. Couzin, Daniel A. Keim:
Director's Cut: Analysis and Annotation of Soccer Matches. IEEE Computer Graphics and Applications 36(5): 50-60 (2016) - [j112]Mennatallah El-Assady, Valentin Gold, Carmela Acevedo, Christopher Collins, Daniel A. Keim:
ConToVi: Multi-Party Conversation Exploration using Topic-Space Views. Comput. Graph. Forum 35(3): 431-440 (2016) - [j111]Franz Wanner, Wolfgang Jentner, Tobias Schreck, Andreas Stoffel, Lyubka Sharalieva, Daniel A. Keim:
Integrated visual analysis of patterns in time series and text data - Workflow and application to financial data analysis. Information Visualization 15(1): 75-90 (2016) - [j110]Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim:
A Survey on Visual Analytics of Social Media Data. IEEE Trans. Multimedia 18(11): 2135-2148 (2016) - [j109]Dominik Jäckle, Fabian Fischer, Tobias Schreck, Daniel A. Keim:
Temporal MDS Plots for Analysis of Multivariate Data. IEEE Trans. Vis. Comput. Graph. 22(1): 141-150 (2016) - [j108]Dominik Sacha, Hansi Senaratne, Bum Chul Kwon, Geoffrey P. Ellis, Daniel A. Keim:
The Role of Uncertainty, Awareness, and Trust in Visual Analytics. IEEE Trans. Vis. Comput. Graph. 22(1): 240-249 (2016) - [j107]Lin Shao, Timo Schleicher, Michael Behrisch, Tobias Schreck, Ivan Sipiran, Daniel A. Keim:
Guiding the exploration of scatter plot data using motif-based interest measures. J. Vis. Lang. Comput. 36: 1-12 (2016) - [c217]Christoph Schulz, Arlind Nocaj, Mennatallah El-Assady, Steffen Frey, Marcel Hlawatsch, Michael Hund, Grzegorz Karol Karch, Rudolf Netzel, Christin Schätzle, Miriam Butt, Daniel A. Keim, Thomas Ertl, Ulrik Brandes, Daniel Weiskopf:
Generative Data Models for Validation and Evaluation of Visualization Techniques. BELIV 2016: 112-124 - [c216]Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
Human-centered machine learning through interactive visualization: review and open challenges. ESANN 2016 - [c215]Manuel Stein, Halldór Janetzko, Andreas Lamprecht, Daniel Seebacher, Tobias Schreck, Daniel A. Keim, Michael Grossniklaus:
From game events to team tactics: Visual analysis of dangerous situations in multi-match data. TISHW 2016: 8:1-8:9 - [c214]Dominik Jäckle, Johannes Fuchs, Daniel A. Keim:
Star Glyph Insets for Overview Preservation of Multivariate Data. Visualization and Data Analysis 2016: 1-9 - [c213]Leishi Zhang, Chris Rooney, Lev Nachmanson, B. L. William Wong, Bum Chul Kwon, Florian Stoffel, Michael Hund, Nadeem Qazi, Uchit Singh, Daniel A. Keim:
Spherical Similarity Explorer for Comparative Case Analysis. Visualization and Data Analysis 2016: 1-10 - [c212]Alexander Jäger, Sebastian Mittelstädt, Daniela Oelke, Sonja Sander, Axel Platz, Gies Bouwman, Daniel A. Keim:
Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management. EuroVA@EuroVis 2016: 1-5 - [c211]Bruno Schneider, Sebastian Mittelstädt, Daniel A. Keim:
When Individual Data Points Matter: Interactively Analysing Classification Landscapes. EuroVis (Posters) 2016: 13-15 - [c210]Daniel Seebacher, Manuel Stein, Halldór Janetzko, Daniel A. Keim:
Patent Retrieval: A Multi-Modal Visual Analytics Approach. EuroVA@EuroVis 2016: 13-17 - [c209]Juri Buchmüller, Dominik Jäckle, Florian Stoffel, Daniel A. Keim:
SpaceCuts: Making Room for Visualizations on Maps. EuroVis (Short Papers) 2016: 67-71 - [c208]Dominik Sacha, Ina Boesecke, Johannes Fuchs, Daniel A. Keim:
Analytic Behavior and Trust Building in Visual Analytics. EuroVis (Short Papers) 2016: 143-147 - 2015
- [j106]Juri Buchmüller, Halldór Janetzko, Gennady L. Andrienko, Natalia V. Andrienko, Georg Fuchs, Daniel A. Keim:
Visual Analytics for Exploring Local Impact of Air Traffic. Comput. Graph. Forum 34(3): 181-190 (2015) - [j105]Sebastian Mittelstädt, Daniel A. Keim:
Efficient Contrast Effect Compensation with Personalized Perception Models. Comput. Graph. Forum 34(3): 211-220 (2015) - [j104]Manuel Stein, Johannes Häussler, Dominik Jäckle, Halldór Janetzko, Tobias Schreck, Daniel A. Keim:
Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction. ISPRS Int. J. Geo-Information 4(4): 2159-2184 (2015) - [j103]Daniel Pérez-López, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco:
Interactive feature space extension for multidimensional data projection. Neurocomputing 150: 611-626 (2015) - [j102]Daniel A. Keim, Tobias Schreck:
Special Issue on Visual Analytics. it - Information Technology 57(1): 1-2 (2015) - [j101]Fabian Fischer, Johannes Fuchs, Florian Mansmann, Daniel A. Keim:
BANKSAFE: Visual analytics for big data in large-scale computer networks. Information Visualization 14(1): 51-61 (2015) - [c207]Lin Shao, Timo Schleicher, Michael Behrisch, Tobias Schreck, Ivan Sipiran, Daniel A. Keim:
Guiding the Exploration of Scatter Plot Data Using Motif-Based Interest Measures. BDVA 2015: 57-64 - [c206]Michael Hund, Werner Sturm, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Majnaric, Andreas Holzinger:
Analysis of Patient Groups and Immunization Results Based on Subspace Clustering. BIH 2015: 358-368 - [c205]Sebastian Mittelstädt, Xiaoyu Wang, Todd Eaglin, Dennis Thom, Daniel A. Keim, William J. Tolone, William Ribarsky:
An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures. HICSS 2015: 1118-1127 - [c204]Juri Buchmüller, Fabian Fischer, Dirk Streeb, Daniel A. Keim:
Using visual analytics to provide situation awareness for movement and communication data. VAST 2015: 121-122 - [c203]Eren Cakmak, Alexander Gartner, Thomas Hepp, Juri Buchmüller, Fabian Fischer, Daniel A. Keim:
Applying visual analytics to explore and analyze movement data. VAST 2015: 127-128 - [c202]Bruno Schneider, Carmela Acevedo, Juri Buchmüller, Fabian Fischer, Daniel A. Keim:
Visual analytics for inspecting the evolution of a graph over time: Pattern discovery in a communication network. VAST 2015: 169-170 - [c201]Dirk Streeb, Udo Schlegel, Juri Buchmüller, Fabian Fischer, Daniel A. Keim:
Using visual analytics to analyze movement and action patterns. VAST 2015: 171-172 - [c200]David Spretke, Manuel Stein, Lyubka Sharalieva, Alexander Warta, Valentin Licht, Tobias Schreck, Daniel A. Keim:
Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research. IV 2015: 322-329 - [c199]Dominik Sacha, Yuki Asano, Christian Rohrdantz, Felix Hamborg, Daniel A. Keim, Bettina Braun, Miriam Butt:
Self Organizing Maps for the Visual Analysis of Pitch Contours. NODALIDA 2015: 181-189 - [c198]Laura von Rüden, Marc-André Hermanns, Michael Behrisch, Daniel A. Keim, Bernd Mohr, Felix Wolf:
Separating the wheat from the chaff: identifying relevant and similar performance data with visual analytics. VPA@SC 2015: 4:1-4:8 - [c197]Michael Hund, Michael Behrisch, Ines Färber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, Daniel A. Keim:
Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. SISAP 2015: 307-313 - [c196]Jürgen Bernard, Martin Steiger, Sebastian Mittelstädt, Simon Thum, Daniel A. Keim, Jörn Kohlhammer:
A survey and task-based quality assessment of static 2D colormaps. Visualization and Data Analysis 2015: 93970M - [c195]Dominik Jäckle, Hansi Senaratne, Juri Buchmüller, Daniel A. Keim:
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation. EuroVA@EuroVis 2015: 49-53 - [c194]Dominik Jäckle, Florian Stoffel, Bum Chul Kwon, Dominik Sacha, Andreas Stoffel, Daniel A. Keim:
Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization. EuroVis (Short Papers) 2015: 55-59 - [c193]Markus Wagner, Fabian Fischer, Robert Luh, Andrea Haberson, Alexander Rind, Daniel A. Keim, Wolfgang Aigner:
A Survey of Visualization Systems for Malware Analysis. EuroVis (STARs) 2015: 105-125 - [c192]Sebastian Mittelstädt, Dominik Jäckle, Florian Stoffel, Daniel A. Keim:
ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks. EuroVis (Short Papers) 2015: 115-119 - [c191]Svenja Simon, Sebastian Mittelstädt, Daniel A. Keim, Michael Sedlmair:
Bridging the Gap of Domain and Visualization Experts with a Liaison. EuroVis (Short Papers) 2015: 127-131 - [i9]Daniel A. Keim, Tamara Munzner, Fabrice Rossi, Michel Verleysen:
Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). Dagstuhl Reports 5(3): 1-27 (2015) - 2014
- [j100]Halldór Janetzko, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim:
Anomaly detection for visual analytics of power consumption data. Computers & Graphics 38: 27-37 (2014) - [j99]Sebastian Mittelstädt, Andreas Stoffel, Daniel A. Keim:
Methods for Compensating Contrast Effects in Information Visualization. Comput. Graph. Forum 33(3): 231-240 (2014) - [j98]Martin Steiger, Jürgen Bernard, Sebastian Mittelstädt, Hendrik Lücke-Tieke, Daniel A. Keim, Thorsten May, Jörn Kohlhammer:
Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks. Comput. Graph. Forum 33(3): 401-410 (2014) - [j97]Michael Behrisch, James Davey, Fabian Fischer, Olivier Thonnard, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer:
Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom. Comput. Graph. Forum 33(3): 411-420 (2014) - [j96]Christian Rohrdantz, Florian Mansmann, Chris North, Daniel A. Keim:
Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls. Information Visualization 13(4): 313-325 (2014) - [j95]Remco Chang, David S. Ebert, Daniel A. Keim:
Introduction to the Special Issue on Interactive Computational Visual Analytics. TiiS 4(1): 3:1-3:3 (2014) - [j94]Dominik Sacha, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey P. Ellis, Daniel A. Keim:
Knowledge Generation Model for Visual Analytics. IEEE Trans. Vis. Comput. Graph. 20(12): 1604-1613 (2014) - [c190]Sebastian Mittelstädt, Ming C. Hao, Umeshwar Dayal, Meichun Hsu, Joseph Terdiman, Daniel A. Keim:
Advanced visual analytics interfaces for adverse drug event detection. AVI 2014: 237-244 - [c189]Hanna Suominen, Tobias Schreck, Gondy Leroy, Harry Hochheiser, Lorraine Goeuriot, Liadh Kelly, Danielle L. Mowery, Jaume Nualart, Gabriela Ferraro, Daniel A. Keim:
Task 1 of the CLEF eHealth Evaluation Lab 2014. CLEF (Working Notes) 2014: 1-30 - [c188]Tina Bögel, Valentin Gold, Annette Hautli-Janisz, Christian Rohrdantz, Sebastian Sulger, Miriam Butt, Katharina Holzinger, Daniel A. Keim:
Towards visualizing linguistic patterns of deliberation: a case study of the S21 arbitration. DH 2014 - [c187]
- [c186]Halldór Janetzko, Dominik Sacha, Manuel Stein, Tobias Schreck, Daniel A. Keim, Oliver Deussen:
Feature-driven visual analytics of soccer data. IEEE VAST 2014: 13-22 - [c185]Fabian Fischer, Florian Stoffel, Sebastian Mittelstädt, Tobias Schreck, Daniel A. Keim:
Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). IEEE VAST 2014: 301-302 - [c184]Halldór Janetzko, Dominik Jäckle, Oliver Deussen, Daniel A. Keim:
Visual abstraction of complex motion patterns. Visualization and Data Analysis 2014: 90170J - [c183]Franz Wanner, Tobias Schreck, Wolfgang Jentner, Lyubka Sharalieva, Daniel A. Keim:
Relating interesting quantitative time series patterns with text events and text features. Visualization and Data Analysis 2014: 90170G - [c182]Fabian Fischer, James Davey, Johannes Fuchs, Olivier Thonnard, Jörn Kohlhammer, Daniel A. Keim:
A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications. EuroVA@EuroVis 2014 - [c181]Sebastian Mittelstädt, Jürgen Bernard, Tobias Schreck, Martin Steiger, Jörn Kohlhammer, Daniel A. Keim:
Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. EuroVis (Short Papers) 2014 - [c180]Jonathan C. Roberts, Daniel A. Keim, Timothy Hanratty, Robert Rowlingson, Rick Walker, Mark Hall, Zack Jackobson, Valerie Lavigne, Chris Rooney, Margaret Varga:
From Ill-defined Problems to Informed Decisions. EuroVA@EuroVis 2014 - [c179]Lin Shao, Michael Behrisch, Tobias Schreck, Tatiana von Landesberger, Maximilian Scherer, Sebastian Bremm, Daniel A. Keim:
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces. EuroVA@EuroVis 2014 - [c178]Franz Wanner, Andreas Stoffel, Dominik Jäckle, Bum Chul Kwon, Andreas Weiler, Daniel A. Keim:
State-of-the-Art Report of Visual Analysis for Event Detection in Text Data Streams. EuroVis (STARs) 2014 - [c177]Fabian Fischer, Daniel A. Keim:
NStreamAware: real-time visual analytics for data streams to enhance situational awareness. VizSEC 2014: 65-72 - 2013
- [b5]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Stefan Wrobel:
Visual Analytics of Movement. Springer 2013, ISBN 978-3-642-37582-8, pp. I-XVIII, 1-387 - [j93]Daniel A. Keim, Huamin Qu, Kwan-Liu Ma:
Big-Data Visualization. IEEE Computer Graphics and Applications 33(4): 20-21 (2013) - [j92]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) - [j91]Tobias Schreck, Daniel A. Keim:
Visual Analysis of Social Media Data. IEEE Computer 46(5): 68-75 (2013) - [j90]Daniel A. Keim, Milos Krstajic, Christian Rohrdantz, Tobias Schreck:
Real-Time Visual Analytics for Text Streams. IEEE Computer 46(7): 47-55 (2013) - [j89]Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon:
Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. 27(1): 1-3 (2013) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [c176]Milos Krstajic, Daniel A. Keim:
Visualization of streaming data: Observing change and context in information visualization techniques. BigData 2013: 41-47 - [c175]Daniel A. Keim:
Solving Problems with Visual Analytics: The Role of Visualization and Analytics in Exploring Big Data. BTW 2013: 17-18 - [c174]