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Daniel 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]