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ORCIDDaniel A. Keim
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- affiliation: University of Konstanz, Germany
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2020 – today
- 2025
[j182]Johannes Fuchs
, Alexander Frings, Maria-Viktoria Heinle, Daniel A. Keim, Sara Di Bartolomeo:
Quality Metrics and Reordering Strategies for Revealing Patterns in BioFabric Visualizations. IEEE Trans. Vis. Comput. Graph. 31(1): 1039-1049 (2025)- [c306]Sara Di Bartolomeo, Raphael Buchmüller, Alexander Frings, Johannes Fuchs, Daniel A. Keim:
Reflections on the Uses and Available Choices of Categorical Colorschemes. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2025: 843-850 - [i66]Lucas Joos, Maximilian T. Fischer, Julius Rauscher, Daniel A. Keim, Tim Dwyer, Falk Schreiber, Karsten Klein:
Visual Network Analysis in Immersive Environments: A Survey. CoRR abs/2501.08500 (2025) - 2024
- [j181]Johannes Fuchs, Frederik L. Dennig, Maria-Viktoria Heinle, Daniel A. Keim, Sara Di Bartolomeo:
Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis. Comput. Graph. Forum 43(3) (2024) - [j180]Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Mennatallah El-Assady:
-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation. ACM Trans. Interact. Intell. Syst. 14(2): 14 (2024) - [j179]Julius Rauscher, Raphael Buchmüller, Daniel A. Keim, Matthias Miller:
SkiVis: Visual Exploration and Route Planning in Ski Resorts. IEEE Trans. Vis. Comput. Graph. 30(1): 869-879 (2024) - [j178]Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf:
Comparative Evaluation of Animated Scatter Plot Transitions. IEEE Trans. Vis. Comput. Graph. 30(6): 2929-2941 (2024) - [j177]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
Automorphism Faithfulness Metrics for Symmetric Graph Drawings. IEEE Trans. Vis. Comput. Graph. 30(7): 3241-3255 (2024) - [j176]Frederik L. Dennig, Matthias Miller, Daniel A. Keim, Mennatallah El-Assady:
FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space. IEEE Trans. Vis. Comput. Graph. 30(8): 5165-5182 (2024) - [c305]Daniela Blumberg, Yu Wang, Alexandru C. Telea, Daniel A. Keim, Frederik L. Dennig:
Inverting Multidimensional Scaling Projections Using Data Point Multilateration. EuroVA@EuroVis 2024 - [c304]Raphael Buchmüller, Bastian Jäckl, Michael Behrisch, Daniel A. Keim, Frederik L. Dennig:
cPro: Circular Projections Using Gradient Descent. EuroVA@EuroVis 2024 - [c303]Lucas Joos, Bastian Jäckl, Daniel A. Keim, Maximilian T. Fischer, Ladislav Peska, Jakub Lokoc:
Known-Item Search in Video: An Eye Tracking-Based Study. ICMR 2024: 311-319 - [c302]Raphael Buchmüller, Mark-Matthias Zymla, Daniel A. Keim, Miriam Butt, Rita Sevastjanova:
Exploration of Preference Models using Visual Analytics. MLVis@EuroVis 2024 - [c301]Shijun Cai, Seok-Hee Hong, Amyra Meidiana, Peter Eades, Daniel A. Keim:
Cluster-Faithful Graph Visualization: New Metrics and Algorithms. PacificVis 2024: 192-201 - [c300]Mohsen Jenadeleh, Frederik L. Dennig, René Cutura, Quynh Quang Ngo, Daniel A. Keim, Michael Sedlmair, Dietmar Saupe:
An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. QoMEX 2024: 278-281 - [c299]Mark-Matthias Zymla, Raphael Buchmüller, Miriam Butt, Daniel A. Keim:
Deciphering Personal Argument Styles - A Comprehensive Approach to Analyzing Linguistic Properties of Argument Preferences. RATIO 2024: 296-314 - [c298]Lucas Joos, Uzay Durdu, Jonathan Wieland, Harald Reiterer, Daniel A. Keim, Johannes Fuchs, Maximilian T. Fischer:
Evaluating Node Selection Techniques for Network Visualizations in Virtual Reality. SUI 2024: 25:1-25:11 - [c297]Udo Schlegel, Daniel A. Keim, Tobias Sutter:
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series. TempXAI@PKDD/ECML 2024: 12-27 - [c296]Funda Yildiz Aydin, Mehmet Emre Sahin, Sinem Bilge Güler, Udo Schlegel, Daniel A. Keim:
VAST 2024-MC2 Challenge. VAST Challenge@VIS 2024: 1-2 - [c295]Yannick Metz, Dennis Ackermann, Daniel A. Keim, Maximilian T. Fischer:
Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent. VDS@VIS 2024: 6-14 - [c294]Raphael Buchmüller, Daniel Fürst, Alexander Frings, Udo Schlegel, Daniel A. Keim:
Visual Bias Detection for Addressing Illegal Fishing Activities. VAST Challenge@VIS 2024: 9-10 - [c293]Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer:
The Categorical Data Map: A Multidimensional Scaling-Based Approach. VDS@VIS 2024: 25-34 - [c292]Antonella Bidlingmaier, Julian Jandeleit, Fred Kunze, Lisa-Maria Reutlinger, Tolga Tuncer, Udo Schlegel, Daniel A. Keim:
Fishing Vizzard: An Interactive Visual Analytics Tool to Identify Suspicious Fishing Behavior. VAST Challenge@VIS 2024: 26-27 - [c291]Raphael Buchmüller, Friedericke Körte, Daniel A. Keim:
Seeing the Shift: Keep an Eye on Semantic Changes in Times of LLMs. VDS@VIS 2024: 40-47 - [d5]Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer:
The Categorical Data Map - Replication Data. DaRUS, 2024
- [d4]Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf:
Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material. DaRUS, 2024 - [d3]Frederik L. Dennig, Maximilian T. Fischer, Michael Blumenschein, Johannes Fuchs, Daniel A. Keim, Evanthia Dimara:
Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets". DaRUS, 2024 - [i65]Maximilian T. Fischer, Yannick Metz, Lucas Joos, Matthias Miller, Daniel A. Keim:
MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework. CoRR abs/2401.01955 (2024) - [i64]Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf:
Comparative Evaluation of Animated Scatter Plot Transitions. CoRR abs/2401.04692 (2024) - [i63]Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Mennatallah El-Assady:
generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation. CoRR abs/2403.07627 (2024) - [i62]Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer:
Toward the Categorical Data Map. CoRR abs/2404.16044 (2024) - [i61]Matthias Miller, Daniel Fürst, Maximilian T. Fischer, Hanna Hauptmann, Daniel A. Keim, Mennatallah El-Assady:
MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music. CoRR abs/2407.05427 (2024) - [i60]Lucas Joos, Daniel A. Keim, Maximilian T. Fischer:
Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews. CoRR abs/2407.10652 (2024) - [i59]Yannick Metz, Dennis Ackermann, Daniel A. Keim, Maximilian T. Fischer:
Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent. CoRR abs/2407.10791 (2024) - [i58]Udo Schlegel, Daniel A. Keim, Tobias Sutter:
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series. CoRR abs/2408.10628 (2024) - [i57]Udo Schlegel, Julius Rauscher, Daniel A. Keim:
Interactive Counterfactual Generation for Univariate Time Series. CoRR abs/2408.10633 (2024) - [i56]Udo Schlegel, Daniel A. Keim:
Interactive dense pixel visualizations for time series and model attribution explanations. CoRR abs/2408.15073 (2024) - [i55]Daniel Fürst, Mennatallah El-Assady, Daniel A. Keim, Maximilian T. Fischer:
Challenges and Opportunities for Visual Analytics in Jurisprudence. CoRR abs/2412.06543 (2024) - [i54]Bastian Jäckl, Yannick Metz, Udo Schlegel, Daniel A. Keim, Maximilian T. Fischer:
Leveraging Color Channel Independence for Improved Unsupervised Object Detection. CoRR abs/2412.15150 (2024) - 2023
- [j175]Aoyu Wu, Dazhen Deng, Min Chen, Shixia Liu, Daniel A. Keim, Ross Maciejewski, Silvia Miksch, Hendrik Strobelt, Fernanda B. Viégas, Martin Wattenberg:
Grand Challenges in Visual Analytics Applications. IEEE Computer Graphics and Applications 43(5): 83-90 (2023) - [j174]Yannick Metz, Eugene Bykovets, Lucas Joos, Daniel A. Keim, Mennatallah El-Assady:
VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning. Comput. Graph. Forum 42(3): 397-408 (2023) - [j173]Wolfgang Jentner, Giuliana Lindholz, Hanna Hauptmann, Mennatallah El-Assady, Kwan-Liu Ma, Daniel A. Keim:
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data. ACM Trans. Interact. Intell. Syst. 13(2): 10:1-10:49 (2023) - [j172]Daniel Seebacher, Tom Polk, Halldor Janetzko, Daniel A. Keim, Tobias Schreck, Manuel Stein:
Investigating the Sketchplan: A Novel Way of Identifying Tactical Behavior in Massive Soccer Datasets. IEEE Trans. Vis. Comput. Graph. 29(4): 1920-1936 (2023) - [c290]Lucas Joos, Karsten Klein, Maximilian T. Fischer, Frederik L. Dennig, Daniel A. Keim, Michael Krone:
Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction Modalities. ISMAR 2023: 790-799 - [c289]Udo Schlegel, Daniel A. Keim:
Interactive Dense Pixel Visualizations for Time Series and Model Attribution Explanations. MLVis@EuroVis 2023: 1-5 - [c288]Udo Schlegel, Daniel A. Keim:
Introducing the Attribution Stability Indicator: A Measure for Time Series XAI Attributions. PKDD/ECML Workshops (3) 2023: 3-18 - [c287]Lucas Joos, Maximilian T. Fischer, Daniel A. Keim, Johannes Fuchs:
Aesthetic-Driven Navigation for Node-Link Diagrams in VR. SUI 2023: 25:1-25:10 - [c286]Udo Schlegel, Daniel A. Keim:
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI. xAI (3) 2023: 165-180 - [d2]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". 2.0. DaRUS, 2023 [all versions] - [d1]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". 2.1. DaRUS, 2023 [all versions] - [i53]Richard Brath, Daniel A. Keim, Johannes Knittel, Shimei Pan, Pia Sommerauer, Hendrik Strobelt:
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference. CoRR abs/2301.04528 (2023) - [i52]Udo Schlegel, Daniel A. Keim:
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI. CoRR abs/2307.05104 (2023) - [i51]Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady:
Visual Explanations with Attributions and Counterfactuals on Time Series Classification. CoRR abs/2307.08494 (2023) - [i50]Julius Rauscher, Raphael Buchmüller, Daniel A. Keim, Matthias Miller:
SkiVis: Visual Exploration and Route Planning in Ski Resorts. CoRR abs/2307.08570 (2023) - [i49]Yannick Metz, David Lindner, Raphaël Baur, Daniel A. Keim, Mennatallah El-Assady:
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback. CoRR abs/2308.04332 (2023) - [i48]Udo Schlegel, Daniel A. Keim:
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions. CoRR abs/2310.04178 (2023) - [i47]Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Andreas Spitz, Mennatallah El-Assady:
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges. CoRR abs/2310.11252 (2023) - 2022
- [j171]Matthias Kraus, Johannes Fuchs, Björn Sommer, Karsten Klein, Ulrich Engelke, Daniel A. Keim, Falk Schreiber:
Immersive Analytics with Abstract 3D Visualizations: A Survey. Comput. Graph. Forum 41(1): 201-229 (2022) - [j170]Matthias Miller, Daniel Fürst, Hanna Hauptmann, Daniel A. Keim, Mennatallah El-Assady:
Augmenting Digital Sheet Music through Visual Analytics. Comput. Graph. Forum 41(1): 301-316 (2022) - [j169]Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady:
CorpusVis: Visual Analysis of Digital Sheet Music Collections. Comput. Graph. Forum 41(3): 283-294 (2022) - [j168]Quynh Quang Ngo, Frederik L. Dennig, Daniel A. Keim, Michael Sedlmair:
Machine learning meets visualization - Experiences and lessons learned. it Inf. Technol. 64(4-5): 169-180 (2022) - [j167]Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen, Daniel A. Keim:
Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers. IEEE Trans. Vis. Comput. Graph. 28(9): 3307-3323 (2022) - [j166]Lucas Joos, Sabrina Jaeger-Honz, Falk Schreiber, Daniel A. Keim, Karsten Klein:
Visual Comparison of Networks in VR. IEEE Trans. Vis. Comput. Graph. 28(11): 3651-3661 (2022) - [j165]Rita Sevastjanova, Mennatallah El-Assady, Adam Bradley, Christopher Collins, Miriam Butt, Daniel A. Keim:
VisInReport: Complementing Visual Discourse Analytics Through Personalized Insight Reports. IEEE Trans. Vis. Comput. Graph. 28(12): 4757-4769 (2022) - [j164]Eren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim, Johannes Fuchs:
Multiscale Visualization: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 28(12): 4918-4929 (2022) - [c285]Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, Daniel A. Keim:
A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. EuroVA@EuroVis 2022: 19-23 - [c284]Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm:
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. FAccT 2022: 877-889 - [c283]Udo Schlegel, Samuel Schiegg, Daniel A. Keim:
ViNNPruner: Visual Interactive Pruning for Deep Learning. MLVis@EuroVis 2022: 13-17 - [c282]Julius Rauscher, Matthias Miller, Daniel A. Keim:
Visual Exploration of Preference-based Routes in Ski Resorts. EuroVis (Posters) 2022: 71-73 - [e10]Jan Bender, Mario Botsch, Daniel A. Keim:
27th International Symposium on Vision, Modeling, and Visualization, VMV 2022, Konstanz, Germany, September 27-30, 2022. Eurographics Association 2022, ISBN 978-3-03868-189-2 [contents] - [i46]Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm:
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. CoRR abs/2203.09859 (2022) - [i45]Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady:
CorpusVis: Visual Analysis of Digital Sheet Music Collections. CoRR abs/2203.12663 (2022) - [i44]Udo Schlegel, Samuel Schiegg, Daniel A. Keim:
ViNNPruner: Visual Interactive Pruning for Deep Learning. CoRR abs/2205.15731 (2022) - [i43]Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann:
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. CoRR abs/2208.10481 (2022) - [i42]Eren Cakmak, Johannes Fuchs, Dominik Jäckle, Tobias Schreck, Ulrik Brandes, Daniel A. Keim:
Motif-Based Visual Analysis of Dynamic Networks. CoRR abs/2208.11932 (2022) - [i41]Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann:
How to Enable Uncertainty Estimation in Proximal Policy Optimization. CoRR abs/2210.03649 (2022) - [i40]Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke:
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351). Dagstuhl Reports 12(8): 103-116 (2022) - 2021
- [j163]Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady:
Co-adaptive visual data analysis and guidance processes. Comput. Graph. 100: 93-105 (2021) - [j162]Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara:
SpatialRugs: A compact visualization of space and time for analyzing collective movement data. Comput. Graph. 101: 23-34 (2021) - [j161]Dirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen:
Why Visualize? Arguments for Visual Support in Decision Making. IEEE Computer Graphics and Applications 41(2): 17-22 (2021) - [j160]Matthias Kraus, Karsten Klein, Johannes Fuchs, Daniel A. Keim, Falk Schreiber, Michael Sedlmair, Theresa-Marie Rhyne:
The Value of Immersive Visualization. IEEE Computer Graphics and Applications 41(4): 125-132 (2021) - [j159]Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [j158]Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. Comput. Graph. Forum 40(3): 25-36 (2021) - [j157]Fabian Sperrle, Hanna Schäfer, Daniel A. Keim, Mennatallah El-Assady:
Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement. Comput. Graph. Forum 40(3): 215-226 (2021) - [j156]Frederik L. Dennig, Maximilian T. Fischer, Michael Blumenschein, Johannes Fuchs, Daniel A. Keim, Evanthia Dimara:
ParSetgnostics: Quality Metrics for Parallel Sets. Comput. Graph. Forum 40(3): 375-386 (2021) - [j155]Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim:
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum 40(3): 543-567 (2021) - [j154]Bruno Schneider, Dominik Jäckle, Florian Stoffel, Alexandra Diehl, Johannes Fuchs, Daniel A. Keim:
Integrating Data and Model Space in Ensemble Learning by Visual Analytics. IEEE Trans. Big Data 7(3): 483-496 (2021) - [j153]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. IEEE Trans. Big Data 7(3): 497-509 (2021) - [j152]Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck:
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. IEEE Trans. Vis. Comput. Graph. 27(2): 517-527 (2021) - [j151]Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. IEEE Trans. Vis. Comput. Graph. 27(2): 550-560 (2021) - [j150]Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim:
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. IEEE Trans. Vis. Comput. Graph. 27(2): 1623-1633 (2021) - [j149]Dirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen:
Why Visualize? Untangling a Large Network of Arguments. IEEE Trans. Vis. Comput. Graph. 27(3): 2220-2236 (2021) - [c281]Thilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim:
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration. EDBT/ICDT Workshops 2021 - [c280]Eren Cakmak, Manuel Plank, Daniel S. Calovi, Alex Jordan, Daniel A. Keim:
Spatio-temporal clustering benchmark for collective animal behavior. HANIMOB@SIGSPATIAL 2021: 5-8 - [c279]Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher:
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. PKDD/ECML Workshops (1) 2021: 5-14 - [c278]Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher:
Towards a Survey on Static and Dynamic Hypergraph Visualizations. IEEE VIS (Short Papers) 2021: 81-85 - [c277]Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim:
VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. VizSec 2021: 79-83 - [i39]Maximilian T. Fischer, Daniel A. Keim, Manuel Stein:
Video-based Analysis of Soccer Matches. CoRR abs/2105.04875 (2021) - [i38]Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
Visual Analytics of Conversational Dynamics. CoRR abs/2105.04897 (2021) - [i37]Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. CoRR abs/2106.06334 (2021) - [i36]Maximilian T. Fischer, Frederik L. Dennig, Daniel Seebacher, Daniel A. Keim, Mennatallah El-Assady:
Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers. CoRR abs/2106.14802 (2021) - [i35]Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher:
Towards a Survey on Static and Dynamic Hypergraph Visualizations. CoRR abs/2107.13936 (2021) - [i34]Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim:
VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. CoRR abs/2108.06259 (2021) - [i33]Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher:
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. CoRR abs/2109.08438 (2021) - [i32]Udo Schlegel, Daniel A. Keim:
Time Series Model Attribution Visualizations as Explanations. CoRR abs/2109.12935 (2021) - 2020
- [j148]Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim, Beatriz Sousa Santos, Ginger Alford:
Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions. IEEE Computer Graphics and Applications 40(2): 98-102 (2020) - [j147]Eren Cakmak, Hanna Schäfer, Juri Buchmüller, Johannes Fuchs, Tobias Schreck, Alex Jordan, Daniel A. Keim:
MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior. Comput. Graph. Forum 39(3): 63-75 (2020) - [j146]Michael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, Johannes Fuchs:
Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates. Comput. Graph. Forum 39(3): 537-549 (2020) - [j145]Michael Blumenschein, Luka J. Debbeler, Nadine C. Lages, Britta Renner, Daniel A. Keim, Mennatallah El-Assady:
v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions. Comput. Graph. Forum 39(3): 565-577 (2020) - [j144]Matthias Kraus, Thomas Pollok, Matthias Miller, Timon Urs Kilian, Tobias Moritz, Daniel Schweitzer, Jürgen Beyerer, Daniel A. Keim, Chengchao Qu, Wolfgang Jentner:
Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction. Sensors 20(18): 5426 (2020) - [j143]Matthias Kraus, Niklas Weiler, Daniela Oelke, Johannes Kehrer, Daniel A. Keim, Johannes Fuchs:
The Impact of Immersion on Cluster Identification Tasks. IEEE Trans. Vis. Comput. Graph. 26(1): 525-535 (2020) - [j142]Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen:
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. IEEE Trans. Vis. Comput. Graph. 26(1): 1001-1011 (2020) - [c276]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
Quality Metrics for Symmetric Graph Drawings. PacificVis 2020: 11-15 - [c275]Matthias Kraus, Katrin Angerbauer, Juri Buchmüller, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs:
Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study. CHI 2020: 1-14 - [c274]Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara:
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. EuroVA@Eurographics/EuroVis 2020: 1-5 - [c273]Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady:
Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics. EuroVA@Eurographics/EuroVis 2020: 61-65 - [c272]Bruno Schneider, Daniel A. Keim, Mennatallah El-Assady:
DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised Learning. VISIGRAPP (3: IVAPP) 2020: 141-148 - [c271]Matthias Kraus, Hanna Schäfer, Philipp Meschenmoser, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs:
A Comparative Study of Orientation Support Tools in Virtual Reality Environments with Virtual Teleportation. ISMAR 2020: 227-238 - [c270]Udo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards visual debugging for multi-target time series classification. IUI 2020: 202-206 - [c269]Udo Schlegel, Eren Cakmak, Daniel A. Keim:
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods. MLVis@Eurographics/EuroVis 2020: 7-11 - [i31]Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Evanthia Dimara, Daniel A. Keim:
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. CoRR abs/2003.12282 (2020) - [i30]Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. CoRR abs/2008.07299 (2020) - [i29]Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck:
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. CoRR abs/2008.08282 (2020) - [i28]Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim:
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. CoRR abs/2009.00548 (2020) - [i27]Daniel Fürst, Matthias Miller, Daniel A. Keim, Alexandra Bonnici, Hanna Schäfer, Mennatallah El-Assady:
Augmenting Sheet Music with Rhythmic Fingerprints. CoRR abs/2009.02057 (2020) - [i26]Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim:
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. CoRR abs/2009.06433 (2020) - [i25]Eren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim:
dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs. CoRR abs/2009.07322 (2020) - [i24]Alexandra Diehl, Matthias Kraus, Alfie Abdul-Rahman, Mennatallah El-Assady, Benjamin Bach, Robert S. Laramee, Daniel A. Keim, Min Chen:
Studying Visualization Guidelines According to Grounded Theory. CoRR abs/2010.09040 (2020) - [i23]Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau:
A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR abs/2010.11761 (2020) - [i22]Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady:
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks. CoRR abs/2012.04344 (2020) - [i21]Daniela Oelke, Daniel A. Keim, Polo Chau, Alex Endert:
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382). Dagstuhl Reports 10(4): 37-42 (2020)
2010 – 2019
- 2019
- [j141]Manuel Stein, Halldór Janetzko, Tobias Schreck, Daniel A. Keim:
Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query Definition. IEEE Computer Graphics and Applications 39(5): 60-71 (2019) - [j140]Daniel Seebacher, Matthias Miller, Tom Polk, Johannes Fuchs, Daniel A. Keim:
Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands. IEEE Computer Graphics and Applications 39(5): 83-95 (2019) - [j139]Marco Angelini, Juri Buchmüller, Daniel A. Keim, Philipp Meschenmoser, Giuseppe Santucci:
SurgeryCuts: Embedding Additional Information in Maps without Occluding Features. Comput. Graph. Forum 38(3): 237-247 (2019) - [j138]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) - [j137]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) - [j136]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) - [j135]Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fang-Xin Ou-Yang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim:
Bridging Text Visualization and Mining: A Task-Driven Survey. IEEE Trans. Vis. Comput. Graph. 25(7): 2482-2504 (2019) - [j134]Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim:
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. 25(10): 3011-3031 (2019) - [c268]Mennatallah El-Assady, Wolfgang Jentner, Fabian Sperrle, Rita Sevastjanova, Annette Hautli-Janisz, Miriam Butt, Daniel A. Keim:
lingvis.io - A Linguistic Visual Analytics Framework. ACL (3) 2019: 13-18 - [c267]Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt:
Visualizing Linguistic Change as Dimension Interactions. LChange@ACL 2019: 272-278 - [c266]Björn Sommer, Alexandra Diehl, Michael Aichem, Philipp Meschenmoser, Kim Rehberg, David Weber, Ying Zhang, Karsten Klein, Daniel A. Keim, Falk Schreiber:
Tiled Stereoscopic 3D Display Wall - Concept, Applications and Evaluation. SD&A 2019: 1-15 - [c265]Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim:
EduClust - A Visualization Application for Teaching Clustering Algorithms. Eurographics (Education Papers) 2019: 9-16 - [c264]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Visualization of Clusters in Graphs. GD 2019: 125-138 - [c263]Matthias Kraus, Niklas Weiler, Thorsten Breitkreutz, Daniel A. Keim, Manuel Stein:
Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World. VISIGRAPP (3: IVAPP) 2019: 19-27 - [c262]Matthias Kraus, Matthias Miller, Juri Buchmüller, Manuel Stein, Niklas Weiler, Daniel A. Keim, Mennatallah El-Assady:
Breaking the Curse of Visual Analytics: Accommodating Virtual Reality in the Visualization Pipeline. VISIGRAPP (Revised Selected Papers) 2019: 253-284 - [c261]Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards A Rigorous Evaluation Of XAI Methods On Time Series. ICCV Workshops 2019: 4197-4201 - [c260]Thomas Pollok, Matthias Kraus, Chengchao Qu, Matthias Miller, Tobias Moritz, Timon Urs Kilian, Daniel A. Keim, Wolfgang Jentner:
Computer vision meets visual analytics: Enabling 4D crime scene investigation from image and video data. ICDP 2019: 44-49 - [c259]Astrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model. VAST 2019: 120-121 - [c258]Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning. VAST 2019: 136-137 - [c257]Fabian Nagel, Giuliano Castiglia, Gemza Ademaj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal Data. VAST 2019: 140-141 - [c256]Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita:
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. INNSBDDL 2019: 206-215 - [c255]Maximilian T. Fischer, Daniel A. Keim, Manuel Stein:
Video-based Analysis of Soccer Matches. MMSports@MM 2019: 1-9 - [c254]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 - [c253]Philipp Meschenmoser, Juri Buchmüller, Daniel A. Keim:
Regulation-Oriented Filtering in Web-Based Air Traffic Exploration. OpenSky 2019: 144-155 - [c252]Juri Buchmüller, Eren Cakmak, Natalia V. Andrienko, Gennady L. Andrienko, Jolle W. Jolles, Daniel A. Keim:
Moving Together: Towards a Formalization of Collective Movement. EuroVA@EuroVis 2019: 37-41 - [c251]Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
Visual Analytics of Conversational Dynamics. EuroVA@EuroVis 2019: 83-87 - [c250]Matthias Kraus, Juri Buchmüller, Daniel Schweitzer, Daniel A. Keim, Johannes Fuchs:
Comparative Analysis with Heightmaps in Virtual Reality Environments. EuroVis (Posters) 2019: 97-99 - [c249]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. IEEE VIS (Short Papers) 2019: 86-90 - [e9]Remco Chang, Daniel A. Keim, Ross Maciejewski:
14th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2019, Vancouver, BC, Canada, October 20-25, 2019. IEEE 2019, ISBN 978-1-7281-2284-7 [contents] - [i20]Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen:
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. CoRR abs/1908.00475 (2019) - [i19]David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. CoRR abs/1908.00500 (2019) - [i18]Fabian Sperrle, Jürgen Bernard, Michael Sedlmair, Daniel A. Keim, Mennatallah El-Assady:
Speculative Execution for Guided Visual Analytics. CoRR abs/1908.02627 (2019) - [i17]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Visualization of Clusters in Graphs. CoRR abs/1908.07792 (2019) - [i16]Matthias Miller, Hanna Schäfer, Matthias Kraus, Marc Leman, Daniel A. Keim, Mennatallah El-Assady:
Framing Visual Musicology through Methodology Transfer. CoRR abs/1908.10411 (2019) - [i15]Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim:
Towards a Rigorous Evaluation of XAI Methods on Time Series. CoRR abs/1909.07082 (2019) - [i14]Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim:
A Quality Metric for Symmetric Graph Drawings. CoRR abs/1910.04974 (2019) - 2018
- [j133]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) - [j132]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) - [j131]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) - [j130]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) - [j129]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. Intell. Transp. Syst. 19(5): 1537-1546 (2018) - [j128]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) - [j127]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) - [j126]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) - [j125]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. Vis. Comput. 34(9): 1225-1241 (2018) - [c248]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 - [c247]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 - [c246]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 - [c245]Houssem Ben Lahmar, Melanie Herschel, Michael Blumenschein, Daniel A. Keim:
Provenance-Based Visual Data Exploration with EVLIN. EDBT 2018: 686-689 - [c244]Johannes Häußler, Manuel Stein, Daniel Seebacher, Halldor Janetzko, Tobias Schreck, Daniel A. Keim:
Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data. EnvirVis@EuroVis 2018: 55-62 - [c243]Udo Schlegel, Eren Cakmak, Juri Buchmüller, Daniel A. Keim:
G-Rap: interactive text synthesis using recurrent neural network suggestions. ESANN 2018 - [c242]Michael Blumenschein, Michael Behrisch, Stefanie Schmid, Simon Butscher, Deborah R. Wahl, Karoline Villinger, Britta Renner, Harald Reiterer, Daniel A. Keim:
SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach. VAST 2018: 36-47 - [c241]Benedikt Bäumle, Ina Boesecke, Raphael Buchmüller, Yannick Metz, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Daniel A. Keim:
Interactive Webtool for Tempospatial Data and Visual Audio Analysis : VAST Challenge 2018: Honorable Mention for Interactive Analytic Tool. VAST 2018: 96-97 - [c240]Isabel Piljek, Giuliana Dehn, Jannik Frauendorf, Ziad Salem, Yerzhan Niyazbayev, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Florian Stoffel, Daniel A. Keim:
Identifying Patterns and Anomalies within Spatiotemporal Water Sampling Data : VAST Challenge 2018: Award for Elegant Design of an Interactive Display. VAST 2018: 98-99 - [c239]Eren Cakmak, Daniel Seebacher, Juri Buchmüller, Daniel A. Keim:
Time Series Projection to Highlight Trends and Outliers. VAST 2018: 104-105 - [c238]Eren Cakmak, Udo Schlegel, Matthias Miller, Juri Buchmüller, Wolfgang Jentner, Daniel A. Keim:
Interactive Classification Using Spectrograms and Audio Glyphs. VAST 2018: 110-111 - [c237]Norman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel A. Keim, Bela Gipp:
An Adaptive Image-based Plagiarism Detection Approach. JCDL 2018: 131-140 - [c236]Florian Stoffel, Hanna Post, Marcus Stewen, Daniel A. Keim:
polimaps: Supporting Predictive Policing with Visual Analytics. EuroVA@EuroVis 2018: 43-47 - [c235]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 - [c234]Wolfgang Jentner, Dominik Jäckle, Ulrich Engelke, Daniel A. Keim, Tobias Schreck:
A Concept for Consensus-based Ordering of Views. EuroVA@EuroVis 2018: 61-65 - [p9]Dirk Streeb, Min Chen, Daniel A. Keim:
The Biases of Thinking Fast and Thinking Slow. Cognitive Biases in Visualizations 2018: 97-107 - [r6]Daniel A. Keim, Peter Bak, Matthias Schäfer:
Dense Pixel Displays. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Daniel A. Keim, Florian Mansmann, Andreas Stoffel, Hartmut Ziegler:
Visual Analytics. Encyclopedia of Database Systems (2nd ed.) 2018 - [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
- [j124]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) - [j123]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) - [j122]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) - [j121]Manuel Stein, Halldór Janetzko, Daniel Seebacher, Alexander Jäger, Manuel Nagel, Jürgen Hölsch, Sven Kosub, Tobias Schreck, Daniel A. Keim, Michael Grossniklaus:
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects. Data 2(1): 2 (2017) - [j120]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) - [j119]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. Inf. Vis. 16(1): 48-73 (2017) - [j118]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. Digit. Scholarsh. Humanit. 32(1): 141-158 (2017) - [j117]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) - [j116]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) - [c233]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 - [c232]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 - [c231]Christin Schätzle, Michael Hund, Frederik L. Dennig, Miriam Butt, Daniel A. Keim:
HistoBankVis: Detecting Language Change via Data Visualization. ListLang@NoDaLiDa 2017: 32-39 - [c230]Dominik Jäckle, Michael Hund, Michael Behrisch, Daniel A. Keim, Tobias Schreck:
Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces. VAST 2017: 1-12 - [c229]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 - [c228]Udo Schlegel, Alexandra Diehl, Daniel A. Keim:
SIZE: Satellite Image Zooming and Exploration. VAST 2017: 219-220 - [c227]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 - [c226]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 - [c225]Wolfgang Jentner, Mennatallah El-Assady, Bela Gipp, Daniel A. Keim:
Feature Alignment for the Analysis of Verbatim Text Transcripts. EuroVA@EuroVis 2017: 13-17 - [c224]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
- [j115]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) - [j114]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) - [j113]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) - [j112]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. Inf. Vis. 15(1): 75-90 (2016) - [j111]Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim:
A Survey on Visual Analytics of Social Media Data. IEEE Trans. Multim. 18(11): 2135-2148 (2016) - [j110]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) - [j109]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) - [j108]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) - [c223]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 - [c222]Miriam Butt, Gerhard Heyer, Katharina Holzinger, Cathleen Kantner, Daniel A. Keim, Jonas Kuhn, Gary S. Schaal, André Blessing, Sebastian Dumm, Mennatallah El-Assady, Valentin Gold, Annette Hautli-Janisz, Matthias Lemke, Maike Müller, Andreas Niekler, Maximilian Overbeck, Gregor Wiedemann:
Argumentanalyse in digitalen Textkorpora. DHd 2016 - [c221]Daniel A. Keim:
Die Rolle von Mensch und Computer in den Digital Humanities. DHd 2016 - [c220]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 - [c219]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 - [c218]Dominik Jäckle, Johannes Fuchs, Daniel A. Keim:
Star Glyph Insets for Overview Preservation of Multivariate Data. Visualization and Data Analysis 2016: 1-9 - [c217]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 - [c216]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 - [c215]Bruno Schneider, Sebastian Mittelstädt, Daniel A. Keim:
When Individual Data Points Matter: Interactively Analysing Classification Landscapes. EuroVis (Posters) 2016: 13-15 - [c214]Daniel Seebacher, Manuel Stein, Halldór Janetzko, Daniel A. Keim:
Patent Retrieval: A Multi-Modal Visual Analytics Approach. EuroVA@EuroVis 2016: 13-17 - [c213]Juri Buchmüller, Dominik Jäckle, Florian Stoffel, Daniel A. Keim:
SpaceCuts: Making Room for Visualizations on Maps. EuroVis (Short Papers) 2016: 67-71 - [c212]Dominik Sacha, Ina Boesecke, Johannes Fuchs, Daniel A. Keim:
Analytic Behavior and Trust Building in Visual Analytics. EuroVis (Short Papers) 2016: 143-147 - 2015
- [j107]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) - [j106]Sebastian Mittelstädt, Daniel A. Keim:
Efficient Contrast Effect Compensation with Personalized Perception Models. Comput. Graph. Forum 34(3): 211-220 (2015) - [j105]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 Inf. 4(4): 2159-2184 (2015) - [j104]Daniel Pérez, 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) - [j103]Daniel A. Keim, Tobias Schreck:
Special Issue on Visual Analytics. it Inf. Technol. 57(1): 1-2 (2015) - [j102]Fabian Fischer, Johannes Fuchs, Florian Mansmann, Daniel A. Keim:
BANKSAFE: Visual analytics for big data in large-scale computer networks. Inf. Vis. 14(1): 51-61 (2015) - [c211]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 - [c210]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 - [c209]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 - [c208]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 - [c207]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 - [c206]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 - [c205]Dirk Streeb, Udo Schlegel, Juri Buchmüller, Fabian Fischer, Daniel A. Keim:
Using visual analytics to analyze movement and action patterns. VAST 2015: 171-172 - [c204]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 - [c203]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 - [c202]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 - [c201]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 - [c200]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 - [c199]Dominik Jäckle, Hansi Senaratne, Juri Buchmüller, Daniel A. Keim:
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation. EuroVA@EuroVis 2015: 49-53 - [c198]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 - [c197]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 - [c196]Sebastian Mittelstädt, Dominik Jäckle, Florian Stoffel, Daniel A. Keim:
ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks. EuroVis (Short Papers) 2015: 115-119 - [c195]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
- [j101]Halldór Janetzko, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim:
Anomaly detection for visual analytics of power consumption data. Comput. Graph. 38: 27-37 (2014) - [j100]Sebastian Mittelstädt, Andreas Stoffel, Daniel A. Keim:
Methods for Compensating Contrast Effects in Information Visualization. Comput. Graph. Forum 33(3): 231-240 (2014) - [j99]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) - [j98]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) - [j97]Christian Rohrdantz, Florian Mansmann, Chris North, Daniel A. Keim:
Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls. Inf. Vis. 13(4): 313-325 (2014) - [j96]Remco Chang, David S. Ebert, Daniel A. Keim:
Introduction to the Special Issue on Interactive Computational Visual Analytics. ACM Trans. Interact. Intell. Syst. 4(1): 3:1-3:3 (2014) - [j95]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) - [c194]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 - [c193]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 - [c192]Tina Bögel, Valentin Gold, Annette Hautli-Janisz, Christian Rohrdantz, Sebastian Sulger, Miriam Butt, Katharina Holzinger, Daniel A. Keim:
Auf den Weg zur Visualisierung von linguistischen Mustern der Deliberation: eine Fallstudie anhand der Daten von S21. DHd 2014 - [c191]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 - [c190]Daniel A. Keim:
Exploring Big Data using Visual Analytics. EDBT/ICDT Workshops 2014: 160 - [c189]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 - [c188]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 - [c187]Halldór Janetzko, Dominik Jäckle, Oliver Deussen, Daniel A. Keim:
Visual abstraction of complex motion patterns. Visualization and Data Analysis 2014: 90170J - [c186]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 - [c185]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 - [c184]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 - [c183]Jonathan C. Roberts, Daniel A. Keim, Timothy P. Hanratty, Robert Rowlingson, Rick Walker, Mark Hall, Zack Jackobson, Valérie Lavigne, Chris Rooney, Margaret Varga:
From Ill-defined Problems to Informed Decisions. EuroVA@EuroVis 2014 - [c182]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 - [c181]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 - [c180]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 - [j94]Daniel A. Keim, Huamin Qu, Kwan-Liu Ma:
Big-Data Visualization. IEEE Computer Graphics and Applications 33(4): 20-21 (2013) - [j93]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) - [j92]Tobias Schreck, Daniel A. Keim:
Visual Analysis of Social Media Data. Computer 46(5): 68-75 (2013) - [j91]Daniel A. Keim, Milos Krstajic, Christian Rohrdantz, Tobias Schreck:
Real-Time Visual Analytics for Text Streams. Computer 46(7): 47-55 (2013) - [j90]Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon:
Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. 27(1): 1-3 (2013) - [j89]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. Decis. Support Syst. 54(2): 1119-1133 (2013) - [j88]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. Int. J. Data Min. Model. Manag. 5(2): 138-157 (2013) - [j87]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. Inf. Vis. 12(3-4): 273-290 (2013) - [j86]Milos Krstajic, Mohammad Najm-Araghi, Florian Mansmann, Daniel A. Keim:
Story Tracker: Incremental visual text analytics of news story development. Inf. Vis. 12(3-4): 308-323 (2013) - [c179]Milos Krstajic, Daniel A. Keim:
Visualization of streaming data: Observing change and context in information visualization techniques. IEEE BigData 2013: 41-47 - [c178]Daniel A. Keim:
Solving Problems with Visual Analytics: The Role of Visualization and Analytics in Exploring Big Data. BTW 2013: 17-18 - [c177]Michael Behrisch, James Davey, Svenja Simon, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer:
Visual Comparison of Orderings and Rankings. EuroVA@EuroVis 2013 - [c176]Halldor Janetzko, Ming C. Hao, Sebastian Mittelstädt, Umeshwar Dayal, Daniel A. Keim:
Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading. HICSS 2013: 1522-1531 - [c175]Matthias Schäfer, Leishi Zhang, Tobias Schreck, Andrada Tatu, John Aldo Lee, Michel Verleysen, Daniel A. Keim:
Improving projection-based data analysis by feature space transformations. Visualization and Data Analysis 2013: 86540H - [c174]Ming C. Hao, Manish Marwah, Sebastian Mittelstädt, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Cullen E. Bash, Carlos J. Felix, Chandrakant D. Patel, Meichun Hsu, Yuan Chen, Michael Hund:
Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization. Visualization and Data Analysis 2013: 865404 - [c173]Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco:
Interactive Visualization and Feature Transformation for Multidimensional Data Projection. VAMP@EuroVis 2013 - [c172]Florian Stoffel, Fabian Fischer, Daniel A. Keim:
Finding anomalies in time-series using visual correlation for interactive root cause analysis. VizSEC 2013: 65-72 - 2012
- [j85]Christian Rohrdantz, Michael Hund, Thomas Mayer, Bernhard Wälchli, Daniel A. Keim:
The World's Languages Explorer: Visual Analysis of Language Features in Genealogical and Areal Contexts. Comput. Graph. Forum 31(3pt1): 935-944 (2012) - [j84]Hendrik Strobelt, Marc Spicker, Andreas Stoffel, Daniel A. Keim, Oliver Deussen:
Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives. Comput. Graph. Forum 31(3pt3): 1135-1144 (2012) - [j83]Andreas Stoffel, Hendrik Strobelt, Oliver Deussen, Daniel A. Keim:
Document Thumbnails with Variable Text Scaling. Comput. Graph. Forum 31(3pt3): 1165-1173 (2012) - [j82]Ming C. Hao, Manish Marwah, Halldór Janetzko, Umeshwar Dayal, Daniel A. Keim, Debprakash Patnaik, Naren Ramakrishnan, Ratnesh K. Sharma:
Visual exploration of frequent patterns in multivariate time series. Inf. Vis. 11(1): 71-83 (2012) - [j81]Daniel A. Keim, Leishi Zhang, Milos Krstajic, Svenja Simon:
Solving Problems with Visual Analytics: Challenges and Applications. J. Multim. Process. Technol. 3(1): 1-11 (2012) - [j80]Benjamin Bustos, Tobias Schreck, Michael Walter, Juan Manuel Barrios, Matthias Schäfer, Daniel A. Keim:
Improving 3D similarity search by enhancing and combining 3D descriptors. Multim. Tools Appl. 58(1): 81-108 (2012) - [j79]Christian Rohrdantz, Ming C. Hao, Umeshwar Dayal, Lars-Erik Haug, Daniel A. Keim:
Feature-Based Visual Sentiment Analysis of Text Document Streams. ACM Trans. Intell. Syst. Technol. 3(2): 26:1-26:25 (2012) - [j78]Dongning Luo, Jing Yang, Milos Krstajic, William Ribarsky, Daniel A. Keim:
EventRiver: Visually Exploring Text Collections with Temporal References. IEEE Trans. Vis. Comput. Graph. 18(1): 93-105 (2012) - [j77]Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim:
Visual Readability Analysis: How to Make Your Writings Easier to Read. IEEE Trans. Vis. Comput. Graph. 18(5): 662-674 (2012) - [c171]James Davey, Florian Mansmann, Jörn Kohlhammer, Daniel A. Keim:
Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions. Future Internet Assembly 2012: 93-104 - [c170]Andrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim:
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. IEEE VAST 2012: 63-72 - [c169]Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim:
Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. IEEE VAST 2012: 173-182 - [c168]Michael Behrisch, James Davey, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer:
Matrix-based visual correlation analysis on large timeseries data. IEEE VAST 2012: 209-210 - [c167]Ming C. Hao, Manish Marwah, Sebastian Mittelstädt, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Cullen E. Bash, Carlos J. Felix, Chandrakant D. Patel, Meichun Hsu, Yuan Chen:
Exploring cyber physical data streams using Radial Pixel Visualizations. IEEE VAST 2012: 225-226 - [c166]Fabian Fischer, Johannes Fuchs, Florian Mansmann, Daniel A. Keim:
BANKSAFE: A visual situational awareness tool for large-scale computer networks: VAST 2012 challenge award: Outstanding comprehensive submission, including multiple vizes. IEEE VAST 2012: 257-258 - [c165]Daniel A. Keim:
Solving Problems with Visual Analytics: Challenges and Applications. ECML/PKDD (1) 2012: 5-6 - [c164]Fabian Fischer, Florian Mansmann, Daniel A. Keim:
Real-time visual analytics for event data streams. SAC 2012: 801-806 - [c163]Ming C. Hao, Christian Rohrdantz, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Meichun Hsu:
Integrating sentiment analysis and term associations with geo-temporal visualizations on customer feedback streams. Visualization and Data Analysis 2012: 82940H - [c162]Milos Krstajic, Mohammad Najm-Araghi, Florian Mansmann, Daniel A. Keim:
Incremental visual text analytics of news story development. Visualization and Data Analysis 2012: 829407 - [c161]Michael Behrisch, Milos Krstajic, Tobias Schreck, Daniel A. Keim:
The News Auditor: Visual Exploration of Clusters of Stories. EuroVA@EuroVis 2012 - [c160]Daniela Oelke, Benno Geißelmann, Daniel A. Keim:
Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles. EuroVA@EuroVis 2012 - [c159]Andreas Stoffel, Leishi Zhang, Stefan Hagen Weber, Daniel A. Keim:
AMPLIO VQA - A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning. EuroVA@EuroVis 2012 - [p8]Florian Mansmann, Fabian Fischer, Daniel A. Keim:
Dynamic Visual Analytics - Facing the Real-Time Challenge. Expanding the Frontiers of Visual Analytics and Visualization 2012: 69-80 - [i8]Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel:
Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports 2(2): 58-83 (2012) - 2011
- [j76]Ming C. Hao, Halldór Janetzko, Sebastian Mittelstädt, W. Hill, Umeshwar Dayal, Daniel A. Keim, Manish Marwah, Ratnesh K. Sharma:
A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series. Comput. Graph. Forum 30(3): 691-700 (2011) - [j75]Daniela Oelke, Halldor Janetzko, Svenja Simon, Klaus Neuhaus, Daniel A. Keim:
Visual Boosting in Pixel-based Visualizations. Comput. Graph. Forum 30(3): 871-880 (2011) - [j74]Gerhard Heyer, Daniel A. Keim, Sven Teresniak, Daniela Oelke:
Interaktive explorative Suche in großen Dokumentbeständen. Datenbank-Spektrum 11(3): 195-206 (2011) - [j73]Franz Wanner, Johannes Fuchs, Daniela Oelke, Daniel A. Keim:
Are my Children Old Enough to Read these Books? Age Suitability Analysis. Polibits 43: 93-100 (2011) - [j72]Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Peter Bak, Holger Theisel, Marcus A. Magnor, Daniel A. Keim:
Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 17(5): 584-597 (2011) - [j71]Enrico Bertini, Andrada Tatu, Daniel A. Keim:
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization. IEEE Trans. Vis. Comput. Graph. 17(12): 2203-2212 (2011) - [j70]Milos Krstajic, Enrico Bertini, Daniel A. Keim:
CloudLines: Compact Display of Event Episodes in Multiple Time-Series. IEEE Trans. Vis. Comput. Graph. 17(12): 2432-2439 (2011) - [j69]Daniel A. Keim:
VisWeek Keynote Address. IEEE Trans. Vis. Comput. Graph. 17(12): xxiii (2011) - [j68]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Daniel A. Keim, Slava Kisilevich, Stefan Wrobel:
A conceptual framework and taxonomy of techniques for analyzing movement. J. Vis. Lang. Comput. 22(3): 213-232 (2011) - [j67]Gennady L. Andrienko, Natalia V. Andrienko, Daniel A. Keim, Alan M. MacEachren, Stefan Wrobel:
Challenging problems of geospatial visual analytics. J. Vis. Lang. Comput. 22(4): 251-256 (2011) - [c158]Christian Rohrdantz, Annette Hautli, Thomas Mayer, Miriam Butt, Daniel A. Keim, Frans Plank:
Towards Tracking Semantic Change by Visual Analytics. ACL (2) 2011: 305-310 - [c157]Svenja Simon, Daniela Oelke, Richard Landstorfer, Klaus Neuhaus, Daniel A. Keim:
Visual analysis of next-generation sequencing data to detect overlapping genes in bacterial genomes. BioVis 2011: 47-54 - [c156]Selma Tekir, Florian Mansmann, Daniel A. Keim:
Geodesic distances for web document clustering. CIDM 2011: 15-21 - [c155]Slava Kisilevich, Daniel A. Keim, Roman Byshko, Michael Tsibelman, Lior Rokach:
Developing a Price Management Decision Support System for Hotel Brokers using Free and Open Source Tools. ICEIS (2) 2011: 147-156 - [c154]Ming C. Hao, Christian Rohrdantz, Halldor Janetzko, Umeshwar Dayal, Daniel A. Keim, Lars-Erik Haug, Meichun Hsu:
Visual sentiment analysis on twitter data streams. IEEE VAST 2011: 277-278 - [c153]Enrico Bertini, Juri Buchmüller, Fabian Fischer, Stephan Huber, Thomas Lindemeier, Fabian Maass, Florian Mansmann, Thomas Ramm, Michael Regenscheit, Christian Rohrdantz, Christian Scheible, Tobias Schreck, Stephan Sellien, Florian Stoffel, Mark Tautzenberger, Matthias Zieker, Daniel A. Keim:
Visual analytics of terrorist activities related to epidemics. IEEE VAST 2011: 329-330 - [c152]Daniel A. Keim, Leishi Zhang:
Solving problems with visual analytics: challenges and applications. I-KNOW 2011: 1 - [c151]Matthias Schäfer, Franz Wanner, Florian Mansmann, Christian Scheible, Verity Stennett, Anders T. Hasselrot, Daniel A. Keim:
Visual pattern discovery in timed event data. Visualization and Data Analysis 2011: 78680K - [c150]Ming C. Hao, Manish Marwah, Halldór Janetzko, Ratnesh Sharma, Daniel A. Keim, Umeshwar Dayal, Debprakash Patnaik, Naren Ramakrishnan:
Visualizing frequent patterns in large multivariate time series. Visualization and Data Analysis 2011: 78680J - [c149]Franz Wanner, Thomas Ramm, Daniel A. Keim:
ForAVis: explorative user forum analysis. WIMS 2011: 14 - [c148]Jörn Kohlhammer, Daniel A. Keim, Margit Pohl, Giuseppe Santucci, Gennady L. Andrienko:
Solving Problems with Visual Analytics. FET 2011: 117-120 - 2010
- [b4]Daniel A. Keim, Jörn Kohlhammer, Geoffrey P. Ellis, Florian Mansmann:
Mastering the Information Age - Solving Problems with Visual Analytics. Eurographics Association 2010, ISBN 978-3-905673-77-7, pp. 1-168 - [b3]Matthew O. Ward, Georges G. Grinstein, Daniel A. Keim:
Interactive Data Visualization - Foundations, Techniques, and Applications. A K Peters 2010, ISBN 978-1-56881-473-5, pp. I-XVII, 1-496 - [j66]Gennady L. Andrienko, Natalia V. Andrienko, Sebastian Bremm, Tobias Schreck, Tatiana von Landesberger, Peter Bak, Daniel A. Keim:
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns. Comput. Graph. Forum 29(3): 913-922 (2010) - [j65]Ming C. Hao, Ratnesh K. Sharma, Daniel A. Keim, Umeshwar Dayal, Chandrakant D. Patel, Ravigopal Vennelakanti:
Application of Visual Analytics for Thermal State Management in Large Data Centres. Comput. Graph. Forum 29(6): 1895-1904 (2010) - [j64]Oliver Deussen, Thomas Ertl, Daniel A. Keim:
Visual Analytics. Inform. Spektrum 33(6): 549 (2010) - [j63]Oliver Deussen, Heinrich H. Bülthoff, Thomas Ertl, Daniel A. Keim, Bernd Lintermann, Harald Reiterer, Andreas Schilling:
Visualisierung auf Großbildschirmen - Herausforderung eines neuen Ausgabegeräts. Inform. Spektrum 33(6): 551-558 (2010) - [j62]Dirk J. Lehmann, Georgia Albuquerque, Martin Eisemann, Andrada Tatu, Daniel A. Keim, Heidrun Schumann, Marcus A. Magnor, Holger Theisel:
Visualisierung und Analyse multidimensionaler Datensätze. Inform. Spektrum 33(6): 589-600 (2010) - [j61]Christian Rohrdantz, Steffen Koch, Charles Jochim, Gerhard Heyer, Gerik Scheuermann, Thomas Ertl, Hinrich Schütze, Daniel A. Keim:
Visuelle Textanalyse - Interaktive Exploration von semantischen Inhalten. Inform. Spektrum 33(6): 601-611 (2010) - [j60]Ming C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko:
Variable binned scatter plots. Inf. Vis. 9(3): 194-203 (2010) - [j59]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Halldor Janetzko, Peter Bak:
Generalized scatter plots. Inf. Vis. 9(4): 301-311 (2010) - [j58]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Sebastian Bremm, Daniel A. Keim, Tatiana von Landesberger, Christian Pölitz, Tobias Schreck:
A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. J. Locat. Based Serv. 4(3&4): 200-221 (2010) - [j57]Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong, Florian Mansmann:
Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic. J. Netw. Syst. Manag. 18(2): 232-236 (2010) - [c147]Slava Kisilevich, Daniel A. Keim, Lior Rokach:
A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos. AGILE Conf. 2010: 163-182 - [c146]Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela Oelke, David Spretke, Hartmut Ziegler:
Advanced visual analytics interfaces. AVI 2010: 3-10 - [c145]Andrada Tatu, Peter Bak, Enrico Bertini, Daniel A. Keim, Jörn Schneidewind:
Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. AVI 2010: 49-56 - [c144]Slava Kisilevich, Florian Mansmann, Daniel A. Keim:
P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. COM.Geo 2010 - [c143]Klaus Neuhaus, Daniela Oelke, David Fürst, Siegfried Scherer, Daniel A. Keim:
Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes. EvoBIO 2010: 228-239 - [c142]Milos Krstajic, Florian Mansmann, Andreas Stoffel, Martin Atkinson, Daniel A. Keim:
Processing online news streams for large-scale semantic analysis. ICDE Workshops 2010: 215-220 - [c141]Slava Kisilevich, Daniel A. Keim, Lior Rokach:
GEO-SPADE - A Generic Google Earth-based Framework for Analyzing and Exploring Spatio-temporal Data. ICEIS (5) 2010: 13-20 - [c140]Slava Kisilevich, Daniel A. Keim, Amit Lasry, Leon Bam, Lior Rokach:
Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies. ICEIS 2010: 495-511 - [c139]Hartmut Ziegler, Marco Jenny, Tino Gruse, Daniel A. Keim:
Visual market sector analysis for financial time series data. IEEE VAST 2010: 83-90 - [c138]Daniela Oelke, David Spretke, Andreas Stoffel, Daniel A. Keim:
Visual readability analysis: How to make your writings easier to read. IEEE VAST 2010: 123-130 - [c137]Ming C. Hao, Manish Marwah, Halldor Janetzko, Daniel A. Keim, Umeshwar Dayal, Ratnesh K. Sharma, Debprakash Patnaik, Naren Ramakrishnan:
Visual analysis of frequent patterns in large time series. IEEE VAST 2010: 227-228 - [c136]Richard May, Pat Hanrahan, Daniel A. Keim, Ben Shneiderman, Stuart K. Card:
The state of visual analytics: Views on what visual analytics is and where it is going. IEEE VAST 2010: 257-259 - [c135]Slava Kisilevich, Christian Rohrdantz, Daniel A. Keim:
'Beautiful picture of an ugly place'. Exploring photo collections using opinion and sentiment analysis of user comments. IMCSIT 2010: 419-428 - [c134]Slava Kisilevich, Milos Krstajic, Daniel A. Keim, Natalia V. Andrienko, Gennady L. Andrienko:
Event-Based Analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections. IV 2010: 289-296 - [c133]Milos Krstajic, Enrico Bertini, Florian Mansmann, Daniel A. Keim:
Visual analysis of news streams with article threads. StreamKDD@KDD 2010: 39-46 - [c132]Andreas Stoffel, David Spretke, Henrik Kinnemann, Daniel A. Keim:
Enhancing document structure analysis using visual analytics. SAC 2010: 8-12 - [c131]Ming C. Hao, Umeshwar Dayal, Ratnesh K. Sharma, Daniel A. Keim, Halldor Janetzko:
Visual analytics of large multidimensional data using variable binned scatter plots. VDA 2010: 753006 - [c130]Christian Rohrdantz, Thomas Mayer, Miriam Butt, Frans Plank, Daniel A. Keim:
Comparative Visual Analysis of Cross-Linguistic Features. EuroVAST@EuroVis 2010 - [c129]Franz Wanner, Matthias Jörg Schäfer, Florian Leitner-Fischer, Fabian Zintgraf, Martin Atkinson, Daniel A. Keim:
DYNEVI - DYnamic News Entity Visualization. EuroVAST@EuroVis 2010 - [c128]Milos Krstajic, Peter Bak, Daniela Oelke, Daniel A. Keim, Martin Atkinson, William Ribarsky:
Applied Visual Exploration on Real-time News Feeds using Polarity and Geo-spatial Analysis. WEBIST (1) 2010: 263-268 - [p7]Joerg Meyer, James J. Thomas, Stephan Diehl, Brian D. Fisher, Daniel A. Keim:
From Visualization to Visually Enabled Reasoning. Scientific Visualization: Advanced Concepts 2010: 227-245 - [p6]Daniel A. Keim, Milos Krstajic, Peter Bak, Daniela Oelke, Florian Mansmann:
Methods for Interactive Exploration of Large-Scale News Streams. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010: 139-154 - [e8]Daniel A. Keim, Stefan Wrobel:
Scalable Visual Analytics, 21.11. - 26.11.2010. Dagstuhl Seminar Proceedings 10471, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2010 [contents] - [e7]Jörn Kohlhammer, Daniel A. Keim:
1st International Symposium on Visual Analytics Science and Technology, EuroVAST@EuroVis 2010, Bordeaux, France, June 8, 2010. Eurographics Association 2010, ISBN 978-3-905673-74-6 [contents] - [i7]Daniel A. Keim, Stefan Wrobel:
10471 Abstracts Collection - Scalable Visual Analytics. Scalable Visual Analytics 2010 - [i6]Daniel A. Keim, Stefan Wrobel:
10471 Executive Summary - Scalable Visual Analytics. Scalable Visual Analytics 2010
2000 – 2009
- 2009
- [j56]Daniel A. Keim, Gerhard Weikum:
Schwerpunktthema - Skalierbare visuelle Analyse: Interaktive visuelle Analysesysteme für komplexe Informationswelten. Datenbank-Spektrum 9(31): 5-7 (2009) - [j55]George G. Robertson, David S. Ebert, Stephen G. Eick, Daniel A. Keim, Ken Joy:
Scale and complexity in visual analytics. Inf. Vis. 8(4): 247-253 (2009) - [j54]Daniel A. Keim, Florian Mansmann, James J. Thomas:
Visual analytics: how much visualization and how much analytics? SIGKDD Explor. 11(2): 5-8 (2009) - [j53]Jianping Fan, Daniel A. Keim, Yuli Gao, Hangzai Luo, Zongmin Li:
JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images. IEEE Trans. Circuits Syst. Video Technol. 19(2): 273-288 (2009) - [j52]Yuli Gao, Jinye Peng, Hangzai Luo, Daniel A. Keim, Jianping Fan:
An Interactive Approach for Filtering Out Junk Images From Keyword-Based Google Search Results. IEEE Trans. Circuits Syst. Video Technol. 19(12): 1851-1865 (2009) - [j51]Peter Bak, Florian Mansmann, Halldor Janetzko, Daniel A. Keim:
Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps. IEEE Trans. Vis. Comput. Graph. 15(6): 913-920 (2009) - [j50]Hendrik Strobelt, Daniela Oelke, Christian Rohrdantz, Andreas Stoffel, Daniel A. Keim, Oliver Deussen:
Document Cards: A Top Trumps Visualization for Documents. IEEE Trans. Vis. Comput. Graph. 15(6): 1145-1152 (2009) - [c127]Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North:
Visual support for analyzing network traffic and intrusion detection events using TreeMap and graph representations. CHIMIT 2009 - [c126]Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel:
Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks. DFN-Forum Kommunikationstechnologien 2009: 115-124 - [c125]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim:
Analysis of community-contributed space-and time-referenced data (example of Panoramio photos). GIS 2009: 540-541 - [c124]Andrada Tatu, Georgia Albuquerque, Martin Eisemann, Jörn Schneidewind, Holger Theisel, Marcus A. Magnor, Daniel A. Keim:
Combining automated analysis and visualization techniques for effective exploration of high-dimensional data. IEEE VAST 2009: 59-66 - [c123]Daniela Oelke, Ming C. Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko:
Visual opinion analysis of customer feedback data. IEEE VAST 2009: 187-194 - [c122]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim:
Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos). IEEE VAST 2009: 213-214 - [c121]Ming C. Hao, Halldór Janetzko, Ratnesh K. Sharma, Umeshwar Dayal, Daniel A. Keim, Malú Castellanos:
Poster: Visual prediction of time series. IEEE VAST 2009: 229-230 - [c120]Peter Bak, Christian Rohrdantz, Svenja Leifert, Christoph Granacher, Stefan Koch, Simon Butscher, Patrick Jungk, Daniel A. Keim:
Integrative visual analytics for suspicious behavior detection. IEEE VAST 2009: 253-254 - [c119]Hangzai Luo, Jianping Fan, Daniel A. Keim, Shin'ichi Satoh:
Personalized News Video Recommendation. MMM 2009: 459-471 - [c118]Daniel A. Keim, Daniela Oelke, Christian Rohrdantz:
Analyzing Document Collections via Context-Aware Term Extraction. NLDB 2009: 154-168 - [c117]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Ratnesh K. Sharma, Abhay Mehta:
Visual analytics of anomaly detection in large data streams. VDA 2009: 72430 - [c116]Gennady L. Andrienko, Natalia V. Andrienko, Peter Bak, Slava Kisilevich, Daniel A. Keim:
Analysis of Community-contributed Space- and Timereferenced Data by Example of Panoramio Photos. VMV 2009: 323-330 - [e6]Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong:
Visualization and Monitoring of Network Traffic, 17.05. - 20.05.2009. Dagstuhl Seminar Proceedings 09211, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [r3]Daniel A. Keim, Peter Bak, Matthias Schäfer:
Dense Pixel Displays. Encyclopedia of Database Systems 2009: 789-795 - [r2]Daniel A. Keim, Florian Mansmann, Andreas Stoffel, Hartmut Ziegler:
Visual Analytics. Encyclopedia of Database Systems 2009: 3341-3346 - [i5]Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong:
09211 Abstracts Collection - Visualization and Monitoring of Network Traffic. Visualization and Monitoring of Network Traffic 2009 - [i4]Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong, Florian Mansmann:
09211 Executive Summary - Visualization and Monitoring of Network Traffic. Visualization and Monitoring of Network Traffic 2009 - 2008
- [j49]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Daniela Oelke, Chantal Tremblay:
Density Displays for Data Stream Monitoring. Comput. Graph. Forum 27(3): 895-902 (2008) - [j48]Hartmut Ziegler, Daniel A. Keim:
COPERNICUS: Context-Preserving Engine for Route Navigation with Interactive User-modifiable Scaling. Comput. Graph. Forum 27(3): 927-934 (2008) - [c115]Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler:
Visual Analytics: Combining Automated Discovery with Interactive Visualizations. ALT 2008: 2 - [c114]Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler:
Visual Analytics: Combining Automated Discovery with Interactive Visualizations. Discovery Science 2008: 2-14 - [c113]Daniela Oelke, Peter Bak, Daniel A. Keim, Mark Last, Guy Danon:
Visual evaluation of text features for document summarization and analysis. IEEE VAST 2008: 75-82 - [c112]Jianping Fan, Hangzai Luo, Aoying Zhou, Daniel A. Keim:
Personalized News Video Recommendation Via Interactive Exploration. ISVC (2) 2008: 380-389 - [c111]Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim:
Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments. IV 2008: 287-295 - [c110]Jianping Fan, Yuli Gao, Hangzai Luo, Daniel A. Keim, Zongmin Li:
A novel approach to enable semantic and visual image summarization for exploratory image search. Multimedia Information Retrieval 2008: 358-365 - [c109]Hangzai Luo, Jianping Fan, Daniel A. Keim:
Personalized news video recommendation. ACM Multimedia 2008: 1001-1002 - [c108]Tobias Schreck, Dieter W. Fellner, Daniel A. Keim:
Towards automatic feature vector optimization for multimedia applications. SAC 2008: 1197-1201 - [c107]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim:
Visual analytics techniques for large multi-attribute time series data. Visualization and Data Analysis 2008: 680908 - [c106]Fabian Fischer, Florian Mansmann, Daniel A. Keim, Stephan Pietzko, Marcel Waldvogel:
Large-Scale Network Monitoring for Visual Analysis of Attacks. VizSEC 2008: 111-118 - [p5]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, James J. Thomas, Hartmut Ziegler:
Visual Analytics: Scope and Challenges. Visual Data Mining 2008: 76-90 - [p4]Daniel A. Keim, Gennady L. Andrienko, Jean-Daniel Fekete, Carsten Görg, Jörn Kohlhammer, Guy Melançon:
Visual Analytics: Definition, Process, and Challenges. Information Visualization 2008: 154-175 - [e5]David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim:
Scientific Visualization, 15.07. - 20.07.2007. Dagstuhl Seminar Proceedings 07291, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008 [contents] - [e4]Oliver Deussen, Daniel A. Keim, Dietmar Saupe:
13th International Fall Workshop on Vision, Modeling, and Visualization, VMV 2008, Konstanz, Germany, October 8-10, 2008. Aka GmbH 2008, ISBN 978-3-89838-609-8 [contents] - [r1]Daniel A. Keim, Benjamin Bustos, Stefan Berchtold, Hans-Peter Kriegel:
Indexing, X-Tree. Encyclopedia of GIS 2008: 543-547 - 2007
- [j47]Jörn Kohlhammer, Daniel A. Keim, David S. Ebert:
Introduction. Comput. Graph. 31(3): 314-315 (2007) - [j46]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck:
Content-Based 3D Object Retrieval. IEEE Computer Graphics and Applications 27(4): 22-27 (2007) - [j45]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Andrada Tatu:
Methoden und Benutzerschnittstellen für effektives Retrieval in 3D-Datenbanken. Datenbank-Spektrum 7(20): 23-32 (2007) - [j44]Gennady L. Andrienko, Natalia V. Andrienko, Piotr Jankowski, Daniel A. Keim, Menno-Jan Kraak, Alan M. MacEachren, Stefan Wrobel:
Geovisual analytics for spatial decision support: Setting the research agenda. Int. J. Geogr. Inf. Sci. 21(8): 839-857 (2007) - [j43]Mike Sips, Jörn Schneidewind, Daniel A. Keim:
Highlighting space-time patterns: Effective visual encodings for interactive decision-making. Int. J. Geogr. Inf. Sci. 21(8): 879-893 (2007) - [j42]Jörn Schneidewind, Mike Sips, Daniel A. Keim:
An automated approach for the optimization of pixel-based visualizations. Inf. Vis. 6(1): 75-88 (2007) - [j41]Daniel A. Keim, Jörn Schneidewind:
Introduction. SIGKDD Explor. 9(2): 3-4 (2007) - [j40]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Martha Lyons:
Value-Cell Bar Charts for Visualizing Large Transaction Data Sets. IEEE Trans. Vis. Comput. Graph. 13(4): 822-833 (2007) - [j39]Florian Mansmann, Daniel A. Keim, Stephen C. North, Brian Rexroad, Daniel Sheleheda:
Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats. IEEE Trans. Vis. Comput. Graph. 13(6): 1105-1112 (2007) - [c105]Svetlana Mansmann, Florian Mansmann, Marc H. Scholl, Daniel A. Keim:
Hierarchy-driven Visual Exploration of Multidimensional Data Cubes. BTW 2007: 96-111 - [c104]Maristella Agosti, Stefano Berretti, Gert Brettlecker, Alberto Del Bimbo, Nicola Ferro, Norbert Fuhr, Daniel A. Keim, Claus-Peter Klas, Thomas Lidy, Diego Milano, Moira C. Norrie, Paola Ranaldi, Andreas Rauber, Hans-Jörg Schek, Tobias Schreck, Heiko Schuldt, Beat Signer, Michael Springmann:
DelosDLMS - The Integrated DELOS Digital Library Management System. DELOS 2007: 36-45 - [c103]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, D. Morent, Jörn Schneidewind:
Intelligent Visual Analytics Queries. IEEE VAST 2007: 91-98 - [c102]Daniel A. Keim, Daniela Oelke:
Literature Fingerprinting: A New Method for Visual Literary Analysis. IEEE VAST 2007: 115-122 - [c101]James J. Thomas, Daniel A. Keim, Joe Kielman, Larry Rosenblum:
Outlook for Visual Analytics Research Funding. IEEE VAST 2007: 227 - [c100]Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim:
Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps. IV 2007: 308-315 - [c99]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck:
A visual analysis of multi-attribute data using pixel matrix displays. Visualization and Data Analysis 2007: 649505 - [c98]Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim:
Relevance Driven Visualization of Financial Performance Measures. EuroVis 2007: 19-26 - [c97]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck:
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. EuroVis 2007: 27-34 - [c96]Florian Mansmann, L. Meier, Daniel A. Keim:
Visualization of Host Behavior for Network Security. VizSEC 2007: 187-202 - [c95]Florian Mansmann, Fabian Fischer, Daniel A. Keim, Stephen C. North:
Visualizing large-scale IP traffic flows. VMV 2007: 23-30 - [i3]David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim:
07291 Summary - Scientific Visualization. Scientific Visualization 2007 - [i2]David S. Ebert, Hans Hagen, Kenneth I. Joy, Daniel A. Keim:
07291 Abstracts Collection - Scientific Visualization. Scientific Visualization 2007 - 2006
- [j38]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
Business process impact visualization and anomaly detection. Inf. Vis. 5(1): 15-27 (2006) - [j37]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
An experimental effectiveness comparison of methods for 3D similarity search. Int. J. Digit. Libr. 6(1): 39-54 (2006) - [j36]Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North:
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. IEEE Trans. Vis. Comput. Graph. 12(5): 749-756 (2006) - [j35]Daniel A. Keim, George G. Robertson, James J. Thomas, Jarke J. van Wijk:
Guest Editorial: Special Section on Visual Analytics. IEEE Trans. Vis. Comput. Graph. 12(6): 1361-1362 (2006) - [c94]Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence:
Task-at-hand interface for change detection in stock market data. AVI 2006: 420-427 - [c93]Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus:
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. BIBE 2006: 183-192 - [c92]Benjamin Bustos, Oliver Deussen, Stefan Hiller, Daniel A. Keim:
A Graphics Hardware Accelerated Algorithm for Nearest Neighbor Search. International Conference on Computational Science (4) 2006: 196-199 - [c91]Tobias Schreck, Daniel A. Keim, Christian Panse:
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering. ICME 2006: 925-928 - [c90]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Tobias Schreck:
Monitoring Network Traffic with Radial Traffic Analyzer. IEEE VAST 2006: 123-128 - [c89]Jörn Schneidewind, Mike Sips, Daniel A. Keim:
Pixnostics: Towards Measuring the Value of Visualization. IEEE VAST 2006: 199-206 - [c88]Mikael Jern, Ebad Banissi, Gennady L. Andrienko, Wolfgang Müller, Daniel A. Keim:
European Research Forum Panel Session Envisioning Research Challenges in Visual Analytics. IV 2006: 5-8 - [c87]Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler:
Challenges in Visual Data Analysis. IV 2006: 9-16 - [c86]Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann:
Scalable Pixel-based Visual Interfaces: Challenges and Solutions. IV 2006: 32-38 - [c85]Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus:
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration. LWA 2006: 322-329 - [c84]Tobias Schreck, Daniel A. Keim, Florian Mansmann:
Regular TreeMap layouts for visual analysis of hierarchical data. SCCG 2006: 183-190 - [c83]Daniel A. Keim, Jörn Schneidewind, Mike Sips:
Scalable Pixel Based Visual Data Exploration. VIEW 2006: 12-24 - [c82]Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler:
A Spectral Visualization System for Analyzing Financial Time Series Data. EuroVis 2006: 195-202 - [e3]Pak Chung Wong, Daniel A. Keim:
1st IEEE Symposium On Visual Analytics Science And Technology, IEEE VAST 2006, Baltimore, MD, USA, October 31 - November 2, 2006. IEEE Computer Society 2006, ISBN 1-4244-0591-2 [contents] - 2005
- [j34]Daniel A. Keim, Christian Panse, Stephen C. North:
Medial-Axis-Based Cartograms. IEEE Computer Graphics and Applications 25(3): 60-68 (2005) - [j33]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
Feature-based similarity search in 3D object databases. ACM Comput. Surv. 37(4): 345-387 (2005) - [j32]Daniel A. Keim, Jörn Schneidewind:
Scalable Visual Data Exploration of Large Data Sets via MultiResolution. J. Univers. Comput. Sci. 11(11): 1766-1779 (2005) - [c81]Florian Mansmann, Tobias Schreck, Daniel A. Keim:
MailSOM - Exploration of Electronic Mail Archives Using Self-Organizing Maps. CEAS 2005 - [c80]Daniel A. Keim, Florian Mansmann, Tobias Schreck:
Analyzing Electronic Mail Using Temporal, Spatial, and Content-based Visualization Techniques. GI Jahrestagung (1) 2005: 434-438 - [c79]Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobias Schreck:
Importance-Driven Visualization Layouts for Large Time Series Data. INFOVIS 2005: 203-210 - [c78]Benjamin Bustos, Daniel A. Keim, Tobias Schreck:
A pivot-based index structure for combination of feature vectors. SAC 2005: 1180-1184 - [c77]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Peter Wright, Jörn Schneidewind:
Visual mining geo-related data using pixel bar charts. Visualization and Data Analysis 2005: 87-94 - [c76]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
VisImpact: business impact visualization. Visualization and Data Analysis 2005: 238-249 - [c75]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
VisBiz: A Business Process Visualization Case Study. EuroVis 2005: 109-116 - [c74]Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips:
Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis 2005: 247-254 - [p3]Daniel A. Keim, Mike Sips, Mihael Ankerst:
Visual Data-Mining Techniques An earlier version of this paper with focus on visualization techniques and their classification has been published in Visual Data Analysis: An Introduction (D. Hand and M. Berthold, Eds.). The Visualization Handbook 2005: 831-843 - 2004
- [j31]Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North:
Pixel based visual data mining of geo-spatial data. Comput. Graph. 28(3): 327-344 (2004) - [j30]Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North:
Visual Data Mining in Large Geospatial Point Sets. IEEE Computer Graphics and Applications 24(5): 36-44 (2004) - [j29]Daniel A. Keim, Wolfgang Lehner:
Data Mining und Data Warehousing. Datenbank-Spektrum 9: 5 (2004) - [j28]Daniel A. Keim, Nick Koudas:
Introduction to special issue with best papers from KDD 2002. Inf. Syst. 29(4): 271-272 (2004) - [j27]Daniel A. Keim, Thomas Ertl:
Wissenschaftliche Visualisierung. it Inf. Technol. 46(3): 109-110 (2004) - [j26]Thomas Ertl, Daniel A. Keim:
Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte. it Inf. Technol. 46(3): 148-153 (2004) - [j25]Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
Multiresolution similarity search in image databases. Multim. Syst. 10(1): 28-40 (2004) - [j24]Daniel A. Keim, Stephen C. North, Christian Panse:
CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms. IEEE Trans. Vis. Comput. Graph. 10(1): 95-110 (2004) - [j23]Daniel A. Keim, Tamara Munzner, Stephen C. North:
Guest Editor's Introduction: Special Section on InfoVis. IEEE Trans. Vis. Comput. Graph. 10(4): 446 (2004) - [c73]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
An Experimental Comparison of Feature-Based 3D Retrieval Methods. 3DPVT 2004: 215-222 - [c72]Daniel A. Keim, Jörn Schneidewind, Mike Sips:
CircleView: a new approach for visualizing time-related multidimensional data sets. AVI 2004: 179-182 - [c71]Daniel A. Keim, Benjamin Bustos:
Similarity Search in Multimedia Databases. ICDE 2004: 873 - [c70]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
Using entropy impurity for improved 3D object similarity search. ICME 2004: 1303-1306 - [c69]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Analyzing Large Collections of Email. IKE 2004: 275-281 - [c68]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind:
Interactive Poster: Visual Mining of Business Process Data. INFOVIS 2004 - [c67]Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips:
RecMap: Rectangular Map Approximations. INFOVIS 2004: 33-40 - [c66]Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips:
Exploring and Visualizing the History of InfoVis. INFOVIS 2004 - [c65]Benjamin Bustos, Daniel A. Keim, Dietmar Saupe, Tobias Schreck, Dejan V. Vranic:
Automatic selection and combination of descriptors for effective 3D similarity search. ISMSE 2004: 514-521 - [c64]Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Finding Spatial Patterns in Network Data. PaRMa 2004 - [c63]Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet:
Pattern management challenges. PaRMa 2004 - [c62]Markus Wawryniuk, Daniel A. Keim:
Identifying Most Predictive Items. PaRMa 2004 - [c61]Amihood Amir, Reuven Kashi, Daniel A. Keim, Nathan S. Netanyahu, Markus Wawryniuk:
Shape-Embedded-Histograms for Visual Data Mining. VisSym 2004: 55-64, 341 - [c60]Ming C. Hao, Daniel A. Keim, Umeshwar Dayal:
VisBiz: A Simplified Visualization of Business Operation. IEEE Visualization 2004: 1 - [c59]Benjamin Bustos, Daniel A. Keim, Christian Panse, Tobias Schreck:
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases. IEEE Visualization 2004: 2 - [c58]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips:
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG 2004: 213-220 - [e2]Oliver Deussen, Charles D. Hansen, Daniel A. Keim, Dietmar Saupe:
6th Joint Eurographics - IEEE TCVG Symposium on Visualization, VisSym 2004, Konstanz, Germany, May 19-21, 2004. Eurographics Association 2004, ISBN 3-905673-07-X [contents] - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [j22]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
Using projections to visually cluster high-dimensional data. Comput. Sci. Eng. 5(2): 14-25 (2003) - [j21]David J. Hand, Daniel A. Keim, Raymond T. Ng:
Guest Editorial. Data Min. Knowl. Discov. 7(3): 239-240 (2003) - [j20]David J. Hand, Daniel A. Keim, Raymond T. Ng:
Guest Editorial. Data Min. Knowl. Discov. 7(4): 347-348 (2003) - [j19]Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind:
Visualizing geographic information: VisualPoints vs. CartoDraw. Inf. Vis. 2(1): 58-67 (2003) - [j18]Alexander Hinneburg, Daniel A. Keim:
A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5(4): 387-415 (2003) - [c57]Alexander Hinneburg, Daniel A. Keim:
Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art 2003: 407-422 - [c56]Daniel A. Keim, Christian Panse, Mike Sips:
Visual Data Mining of Large Spatial Data Sets. DNIS 2003: 201-215 - [c55]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
HD-Eye - Visual Clustering of High dimensional Data. ICDE 2003: 753-755 - [c54]Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, Daniel A. Keim, Markus Wawryniuk:
Analyzing High-Dimensional Data by Subspace Validity. ICDM 2003: 473-476 - [c53]Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North:
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. ICDM 2003: 565-568 - [c52]Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal:
Pushing the Limit in Visual Data Exploration: Techniques and Applications. KI 2003: 37-51 - [c51]Martin L. Kersten, Gerhard Weikum, Michael J. Franklin, Daniel A. Keim, Alejandro P. Buchmann, Surajit Chaudhuri:
A Database Striptease or How to Manage Your Personal Databases. VLDB 2003: 1043-1044 - 2002
- [j17]Daniel A. Keim:
Datenvisualisierung und Data Mining. Datenbank-Spektrum 2: 30-39 (2002) - [j16]Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic:
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. Datenbank-Spektrum 2: 54-63 (2002) - [j15]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Meichun Hsu:
Pixel bar charts: a visualization technique for very large multi-attribute data sets? Inf. Vis. 1(1): 20-34 (2002) - [j14]Stephen G. Eick, Daniel A. Keim:
Visual Data Mining - KDD Workshop Report. SIGKDD Explor. 3(2): 70 (2002) - [j13]Daniel A. Keim:
Information Visualization and Visual Data Mining. IEEE Trans. Vis. Comput. Graph. 8(1): 1-8 (2002) - [j12]Daniel A. Keim, Ming C. Hao, Umeshwar Dayal:
Hierarchical Pixel Bar Charts. IEEE Trans. Vis. Comput. Graph. 8(3): 255-269 (2002) - [c50]Daniel A. Keim, Wolfgang Müller, Heidrun Schumann:
Visual Data Mining. Eurographics (State of the Art Reports) 2002 - [c49]Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind:
Efficient Cartogram Generation: A Comparison. INFOVIS 2002: 33-36 - [c48]Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk:
Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems 2002: 76-85 - [c47]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
HD-Eye: visual clustering of high dimensional data. SIGMOD Conference 2002: 629 - 2001
- [j11]Daniel A. Keim:
Visual exploration of large data sets. Commun. ACM 44(8): 38-44 (2001) - [j10]Christian Böhm, Stefan Berchtold, Daniel A. Keim:
Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Comput. Surv. 33(3): 322-373 (2001) - [c46]Martin Heczko, Daniel A. Keim, Dietmar Saupe, Dejan V. Vranic:
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten. BTW 2001: 384-401 - [c45]Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim:
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001: 420-434 - [c44]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Florian Krebs, Hans-Peter Kriegel:
On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. ICDT 2001: 435-449 - [c43]Daniel A. Keim, Ming C. Hao, Julian Ladisch, Meichun Hsu, Umeshwar Dayal:
Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation. INFOVIS 2001: 113-120 - 2000
- [j9]Daniel A. Keim, Alexander Hinneburg:
Interesting KDD-News from SIGMOD'99. SIGKDD Explor. 1(2): 117 (2000) - [j8]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl:
Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. 12(1): 45-57 (2000) - [j7]Daniel A. Keim:
Designing Pixel-Oriented Visualization Techniques: Theory and Applications. IEEE Trans. Vis. Comput. Graph. 6(1): 59-78 (2000) - [c42]Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt:
Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. BIBE 2000: 43-49 - [c41]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel, Xiaowei Xu:
Optimal Multidimensional Query Processing Using Tree Striping. DaWaK 2000: 244-257 - [c40]Martin Heczko, Daniel A. Keim, Roger Weber:
Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval. DELOS 2000 - [c39]Stefan Berchtold, Daniel A. Keim:
Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications. ICDE 2000: 698-699 - [c38]Gunter Saake, Kai-Uwe Sattler, Daniel A. Keim:
Datenbank- und Visualisierungstechnologien in der Informationsfusion. SimVis 2000: 1-14 - [c37]Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim:
What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000: 506-515 - [e1]Jock D. Mackinlay, Steven F. Roth, Daniel A. Keim:
IEEE Symposium on Information Visualization 2000 (INFOVIS'00), Salt Lake City, Utah, USA, October 9-10, 2000. IEEE Computer Society 2000, ISBN 0-7695-0804-9 [contents]
1990 – 1999
- 1999
- [j6]Eleftherios Koutsofios, Stephen C. North, Daniel A. Keim:
Visualizing Large Telecommunication Data Sets. IEEE Computer Graphics and Applications 19(3): 16-19 (1999) - [j5]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
HD-Eye: Visual Mining of High-Dimensional Data. IEEE Computer Graphics and Applications 19(5): 22-31 (1999) - [c36]Daniel A. Keim, Alexander Hinneburg:
Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999: 141-181 - [c35]Daniel A. Keim:
Efficient Geometry-based Similarity Search of 3D Spatial Databases. SIGMOD Conference 1999: 419-430 - [c34]Alexander Hinneburg, Daniel A. Keim:
Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999: 509 - [c33]Daniel A. Keim:
Visual Data Exploration (Tutorial). SimVis 1999: 397-400 - [c32]Daniel A. Keim, Eleftherios Koutsofios, Stephen C. North:
Visual Exploration of Large Telecommunication Data Sets. UIDIS 1999: 12-20 - [c31]Eleftherios Koutsofios, Stephen C. North, Russell Truscott, Daniel A. Keim:
Visualizing Large-Scale Telecommunication Networks and Services. IEEE Visualization 1999: 457-461 - [c30]Alexander Hinneburg, Daniel A. Keim:
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999: 506-517 - 1998
- [c29]Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt:
Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. German Conference on Bioinformatics 1998 - [c28]Daniel A. Keim:
Verwendung von Bildern zur Exploration und Analyse großer Datenmengen. GI Jahrestagung 1998: 23-32 - [c27]Stefan Berchtold, Daniel A. Keim:
Section Coding: A Similarity Search Technique for the Car Manufacturing Industry. IADT 1998: 256-263 - [c26]Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl:
Fast Nearest Neighbor Search in High-Dimensional Space. ICDE 1998: 209-218 - [c25]Mihael Ankerst, Stefan Berchtold, Daniel A. Keim:
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data. INFOVIS 1998: 52-60 - [c24]Alexander Hinneburg, Daniel A. Keim:
An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998: 58-65 - [c23]Stefan Berchtold, Daniel A. Keim:
High-Dimensional Index Structures, Database Support for Next Decade's Applications (Tutorial). SIGMOD Conference 1998: 501 - [c22]Daniel A. Keim, Annemarie Herrmann:
The Gridfit algorithm: an efficient and effective approach to visualizing large amounts of spatial data. IEEE Visualization 1998: 181-188 - 1997
- [j4]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel:
Using Extended Feature Objects for Partial Similarity Retrieval. VLDB J. 6(4): 333-348 (1997) - [c21]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel:
Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken. BTW 1997: 152-171 - [c20]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel:
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. PODS 1997: 78-86 - [c19]Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel A. Keim, Hans-Peter Kriegel:
Fast Parallel Similarity Search in Multimedia Databases. SIGMOD Conference 1997: 1-12 - 1996
- [j3]Daniel A. Keim:
Pixel-oriented Database Visualizations. SIGMOD Rec. 25(4): 35-39 (1996) - [j2]Daniel A. Keim, Hans-Peter Kriegel:
Visualization Techniques for Mining Large Databases: A Comparison. IEEE Trans. Knowl. Data Eng. 8(6): 923-938 (1996) - [c18]Daniel A. Keim:
Databases and Visualization. SIGMOD Conference 1996: 543 - [c17]Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel:
The X-tree : An Index Structure for High-Dimensional Data. VLDB 1996: 28-39 - 1995
- [b2]Daniel A. Keim:
Visual support for query specification and data mining. Ludwig Maximilian University of Munich, Germany, Shaker 1995, ISBN 978-3-8265-0594-2, pp. 1-243 - [c16]Daniel A. Keim, Hans-Peter Kriegel:
Visualisierungstechniken zur Exploration und Analyse sehr großer Datenbanken. BTW 1995: 262-281 - [c15]Daniel A. Keim, John Peter Lee, Bhavani Thuraisingham, Craig M. Wittenbrink:
Database Issues for Data Visualization: Supporting Interactive Database Explorartion. Workshop on Database Issues for Data Visualization 1995: 12-25 - [c14]Daniel A. Keim:
Enhancing the Visual Clustering of Query-Dependent Database Visualization techniques Using Screen-Filling Curves. Workshop on Database Issues for Data Visualization 1995: 101-110 - [c13]Daniel A. Keim, Hans-Peter Kriegel:
VisDB: A System for Visualizing Large Databases. SIGMOD Conference 1995: 482 - [c12]Daniel A. Keim, Hans-Peter Kriegel:
Possibilities and Limits in Visualizing Large Databases. VDB 1995: 203-214 - [c11]Daniel A. Keim, Mihael Ankerst, Hans-Peter Kriegel:
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. IEEE Visualization 1995: 279-286 - [p2]R. Daniel Bergeron, Daniel A. Keim, Ronald M. Pickett:
Test Data Sets for Evaluating Data Visualization Techniques. Perceptual Issues in Visualization 1995: 9-21 - [p1]Daniel A. Keim, Hans-Peter Kriegel:
Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data. Perceptual Issues in Visualization 1995: 127-141 - 1994
- [j1]Daniel A. Keim, Hans-Peter Kriegel:
VisDB: database exploration using multidimensional visualization. IEEE Computer Graphics and Applications 14(5): 40-49 (1994) - [c10]Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam:
Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems. CoopIS 1994: 203-214 - [c9]Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl:
Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994: 302-313 - 1993
- [c8]John Boyle, Stephen G. Eick, Matthias L. Hemmje, Daniel A. Keim, John Peter Lee, Eric E. Sumner Jr.:
Database Issues for Data Visualization: Interaction, User Interfaces, and Presentation. Workshop on Database Issues for Data Visualization 1993: 25-34 - [c7]Daniel A. Keim, Hans-Peter Kriegel:
Using Visualization to Support Data Mining of Large Existing Databases. Workshop on Database Issues for Data Visualization 1993: 210-229 - [c6]Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam:
Object-Oriented Querying of Existing Relations Databases. DEXA 1993: 325-336 - [c5]Daniel A. Keim, Hans-Peter Kriegel, Andreas Miethsam:
Integration of Relational Databases in a Multidatabase System based on Schema Enrichment. RIDE-IMS 1993: 96-104 - [c4]Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl:
Visual Feedback in Querying Large Databases. IEEE Visualization 1993: 158-165 - 1992
- [b1]Daniel A. Keim, Edy S. Prawirohardjo:
Datenbankmaschinen: Performanz durch Parallelität. Reihe Informatik 86, Bibliographisches Institut 1992, ISBN 3-411-15701-1 - [c3]