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2018
B. Schneider, D. Jäckle, F. Stoffel, A. Diehl, J. Fuchs and D. A. Keim.
Integrating Data and Model Space in Ensemble Learning by Visual Analytics.
IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2018.2877350, to appear, 2018.
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D. Seebacher, J. Häußler, M. Hundt, M. Stein, H. Müller, U. Engelke and D. A. Keim.
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species.
IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2018.2877352, 2018.
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M. Miller, J. Häußler, M. Kraus, D. A. Keim and M. El-Assady.
Analyzing Visual Mappings of Traditional and Alternative Music Notation.
3rd IEEE VIS Workshop on Visualization for the Digital Humanities as part of the IEEE VIS 2018, 2018.
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M. Behrisch, D. Streeb, F. Stoffel, D. Seebacher, B. Matejek, S. H. Weber, S. Mittelstädt, H. Pfister and D. A. Keim.
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2859973, 2018.
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D. Sacha, M. Kraus, D. A. Keim and M. Chen.
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2864838, 2018.
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M. El-Assady, F. Sperrle, O. Deussen, D. A. Keim and C. Collins.
Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2864769, to appear, 2018.
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J. Buchmüller, D. Jäckle, E. Cakmak, U. Brandes and D. A. Keim.
MotionRugs: Visualizing Collective Trends in Space and Time.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2865049, 2018.
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L. J. Debbeler, M. Gamp, M. Blumenschein, D. A. Keim and B. Renner.
Polarized but illusory beliefs about tap and bottled water: A product- and consumer-oriented survey and blind tasting experiment.
Science of The Total Environment, 643():1400 - 1410, DOI: 10.1016/j.scitotenv.2018.06.190, 2018.
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S. Liu, X. Wang, C. Collins, W. Dou, F. Ouyang, M. El-Assady, L. Jiang and D. A. Keim.
Bridging Text Visualization and Mining: A Task-Driven Survey.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2834341, 2018.
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M. El-Assady, R. Sevastjanova, D. A. Keim and C. Collins.
ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics.
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., 37(3):351-365, DOI: 10.1111/cgf.13425, 2018.
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M. Behrisch, M. Blumenschein, N. W. Kim, L. Shao, M. El-Assady, J. Fuchs, D. Seebacher, A. Diehl, U. Brandes, H. Pfister, T. Schreck, D. Weiskopf and D. A. Keim.
Quality Metrics for Information Visualization.
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., DOI: 10.1111/cgf.13446, 2018.
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W. Jentner, F. Stoffel, D. Jäckle, A. Gärtner and D. A. Keim.
DeepClouds: Stereoscopic 3D Wordle based on Conical Spirals.
Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources (VisLR III) @LREC, 2018.
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F. Stoffel, H. Post, M. Stewen and D. A. Keim.
polimaps: Supporting Predictive Policing with Visual Analytics.
EuroVis Workshop on Visual Analytics (EuroVA), 2018.
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W. Jentner, D. Jäckle, U. Engelke, D. A. Keim and T. Schreck.
A Concept for Consensus-based Ordering of Views.
EuroVis Workshop on Visual Analytics (EuroVA), DOI: 10.2312/eurova.20181114, 2018.
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W. Jentner, D. Sacha, F. Stoffel, G. Ellis, L. Zhang and D. A. Keim.
Making Machine Intelligence Less Scary for Criminal Analysts: Reflections on Designing a Visual Comparative Case Analysis Tool.
The Visual Computer Journal, Springer Berlin Heidelberg, DOI: 10.1007/s00371-018-1483-0, 2018.
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N. Andrienko, T. Lammarsch, G. Andrienko, G. Fuchs, D. A. Keim, S. Miksch and A. Rind.
Viewing Visual Analytics as Model Building.
Computer Graphics Forum, 2018.
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M. El-Assady, R. Sevastjanova, F. Sperrle, D. A. Keim and C. Collins.
Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework.
IEEE Transactions on Visualization and Computer Graphics, VAST'17 Best Paper Honorable Mention, 24(1):382-391, DOI: 10.1109/TVCG.2017.2745080, 2018.
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M. Stein, H. Janetzko, A. Lamprecht, T. Breitkreutz, P. Zimmermann, B. Goldlücke, T. Schreck, G. Andrienko, M. Grossniklaus and D. A. Keim.
Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology), 24(1):13-22, DOI: 10.1109/TVCG.2017.2745181, 2018.
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2017
F. Stoffel, F. Bode and D. A. Keim.
Qualitätsmetriken im Bereich Predictive Policing: Die Variabilität und Validität von Trefferraten.
Polizei & Wissenschaft, Verlag für Polizeiwissenschaft, 2017.
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A. Hautli and M. El-Assady.
Rhetorical Strategies in German Argumentative Dialogs.
Argument & Computation, IOS Press, 8(2):153-174, DOI: 10.3233/AAC-170022, 2017.
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M. El-Assady, A. Hautli, V. Gold, M. Butt, K. Holzinger and D. A. Keim.
Interactive Visual Analysis of Transcribed Multi-Party Discourse.
Association for Computational Linguistics, System Demonstrations, DOI: 10.18653/v1/P17-4009, 2017.
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D. Sacha, M. Kraus, J. Bernard, M. Behrisch, T. Schreck, Y. Asano and D. A. Keim.
SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance.
IEEE Trans. on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2017.2744805, 2017.
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H. Senaratne, M. Mueller, M. Behrisch, F. Lalanne, J. Bustos-Jiménez, J. Schneidewind, D. A. Keim and T. Schreck.
Urban Mobility Analysis with Mobile Network Data: A Visual Analytics Approach.
IEEE Transactions on Intelligent Transportation Systems, 2017.
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M. El-Assady, R. Sevastjanova, B. Gipp, D. A. Keim and C. Collins.
NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations.
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., 36(3):213--225, DOI: 10.1111/cgf.13181, 2017.
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A. Diehl, L. Pelorosso, C. Delrieux, K. Matkovic, J. Ruiz, M. E. Gröller and S. Bruckner.
Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting.
Computer Graphics Forum, 36(7):135--144, DOI: 10.1111/cgf.13279, 2017.
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W. Jentner, M. El-Assady, B. Gipp and D. A. Keim.
Feature Alignment for the Analysis of Verbatim Text Transcripts.
EuroVis Workshop on Visual Analytics (EuroVA), DOI: 10.2312/eurova.20171113, 2017.
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D. Sacha, M. Sedlmair, L. Zhang, J. A. Lee, J. Peltonen, D. Weiskopf, S. C. North and D. A. Keim.
What you see is what you can change: Human-centered machine learning by interactive visualization .
Neurocomputing , Elsevier, DOI: 10.1016/j.neucom.2017.01.105, 2017.
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D. Sacha, F. Al-Masoudi, M. Stein, T. Schreck, D. A. Keim, G. Andrienko and H. Janetzko.
Dynamic Visual Abstraction of Soccer Movement.
Honorable Mention Award (EuroVis 17) - Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., DOI: 10.1111/cgf.13189, 2017.
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Differentiation of ncRNAs from small mRNAs in Escherichia coli O157:H7 EDL933 (EHEC) by combined RNAseq and RIBOseq – ryhB encodes the regulatory RNA RyhB and a peptide, RyhP.
BMC Genomics, DOI: 10.1186/s12864-017-3586-9, 2017.
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M. Stein, H. Janetzko, D. Seebacher, A. Jäger, M. Nagel, J. Hölsch, S. Kosub, T. Schreck, D. A. Keim and M. Grossniklaus.
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects.
Data, Special Issue Geospatial Data, 2(1):2, DOI: 10.3390/data2010002, 2017.
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D. Sacha, L. Zhang, M. Sedlmair, J. A. Lee, J. Peltonen, D. Weiskopf, S. C. North and D. A. Keim.
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology), 23(01):241-250, DOI: 10.1109/TVCG.2016.2598495, 2017.
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2016
V. Gold, A. Hautli, K. Holzinger and M. El-Assady.
VisArgue: Analysis and Visualization of Deliberative Political Communication.
Political Communication Report, Special Issue on ‘Fresh Perspectives in Deliberation Research’, 26():1-2, 2016.
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N. Cao, Y. Wu, D. Gotz, D. A. Keim and Y.-P. Tan.
Visual Analytics in Multimedia - Opportunities and Research Challenges.
Special Issue IEEE Transactions on Multimedia, 2016.
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Y. Wu, N. Cao, D. Gotz, Y.-P. Tan and D. A. Keim.
A Survey on Visual Analytics of Social Media Data.
IEEE Transactions on Multimedia, IEEE, 2016.
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G. Schneider, M. El-Assady and H. M. Lehmann.
Tools and Methods for Processing and Visualizing Large Corpora.
Studies in Variation, Contacts and Change in English, VARIENG Helsinki, 2016.
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A. Jäger, S. Mittelstädt, D. Oelke, S. Sander, A. Platz, G. Bouwmann and D. A. Keim.
Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 978-3-03868-016-1(), DOI: 10.2312/eurova.20161116 , 2016.
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L. Shao, T. Schleicher, M. Behrisch, T. Schreck, I. Sipiran and D. A. Keim.
Guiding the exploration of scatter plot data using motif-based interest measures (Journal).
Journal of Visual Languages & Computing , 36():1 - 12, DOI: http://dx.doi.org/10.1016/j.jvlc.2016.07.003, 2016.
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M. Behrisch, B. Bach, M. Hund, L. von Rüden, M. Delz, J.-D. Fekete and T. Schreck.
Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration.
IEEE Transactions on Visualization and Computer Graphics, PP(99):1-1, DOI: 10.1109/TVCG.2016.2598467, 2016.
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H. Senaratne, A. Mobasheri, A. Loai Ali, C. Capineri and M. Haklay.
A review of volunteered geographic information quality assessment methods.
International Journal of Geographical Information Science, Taylor & Francis, DOI: 10.1080/13658816.2016.1189556, 2016.
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M. Hund, D. Böhm, W. Sturm, M. Sedlmair, T. Schreck, T. Ullrich, D. A. Keim, L. Majnaric and A. Holzinger.
Visual Analytics for Concept Exploration in Subspaces of Patient Groups.
Brain Informatics, 3(4):233-247, DOI: 10.1007/s40708-016-0043-5, 2016.
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M. El-Assady, V. Gold, C. Acevedo, C. Collins and D. A. Keim.
ConToVi: Multi-Party Conversation Exploration using Topic-Space Views.
Computer Graphics Forum, DOI: 10.1111/cgf.12919, 2016.
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M. Stein, H. Janetzko, T. Breitkreutz, D. Seebacher, T. Schreck, M. Grossniklaus, I. Couzin and D. A. Keim.
Director's Cut: Analysis and Annotation of Soccer Matches.
IEEE Computer Graphics and Applications, 36(5):50-60, DOI: 10.1109/MCG.2016.102, 2016.
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L. Fellner, C. Huptas, S. Simon, A. Mühlig, S. Scherer and K. Neuhaus.
Draft Genome Sequences of Three European Laboratory Derivatives from Enterohemorrhagic Escherichia coli O157:H7 Strain EDL933, Including Two Plasmids.
Genome Announcements, 4(2):e01331-15, DOI: 10.1128/genomeA.01331-15, 2016.
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J. Fuchs, P. Isenberg, A. Bezerianos and D. A. Keim.
A Systematic Review of Experimental Studies on Data Glyphs.
IEEE Transactions on Visualization and Computer Graphics, PP(99):1-1, DOI: 10.1109/TVCG.2016.2549018, 2016.
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M. Behrisch, B. Bach, N. Henry Riche, T. Schreck and J.-D. Fekete.
Matrix Reordering Methods for Table and Network Visualization.
Computer Graphics Forum, DOI: 10.1111/cgf.12935, 2016.
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J. Teutschbein, S. Simon, J. Lother, J. Springer, P. Hortschansky, C. O. Morton, J. Löffler, H. Einsele, E. Conneally, T. R. Rogers, R. Guthke, A. A. Brakhage and O. Kniemeyer.
Proteomic profiling of serological responses to Aspergillus fumigatus antigens in patients with invasive aspergillosis.
Journal of Proteome Research, DOI: 10.1021/acs.jproteome.6b00042, 2016.
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K. Neuhaus, R. Landstorfer, L. Fellner, S. Simon, A. Schafferhans, T. Goldberg, H. Marx, O. N. Ozoline, B. Rost, B. Kuster, D. A. Keim and S. Scherer.
Translatomics combined with transcriptomics and proteomics reveals novel functional, recently evolved orphan genes in Escherichia coli O157:H7 (EHEC).
BMC Genomics, 17(1):1-16, DOI: 10.1186/s12864-016-2456-1, 2016.
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L. Shao, S. Mittelstädt, R. Goldblatt, I. Omer, P. Bak and T. Schreck.
StreetExplorer: Visual Exploration of Feature-based Patterns in Urban Street Networks.
Proc. Int. Conference on Information Visualization Theory and Applications, to appear, 2016.
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H. Strobelt, D. Oelke, B. C. Kwon, T. Schreck and H. Pfister.
Guidelines for Effective Usage of Text Highlighting Techniques.
IEEE Transactions on Visualization and Computer Graphics, 20(01), DOI: 10.1109/TVCG.2015.2467759, to appear, 2016.
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D. Sacha, H. Senaratne, B. C. Kwon, G. Ellis and D. A. Keim.
The Role of Uncertainty, Awareness, and Trust in Visual Analytics.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology), 22(01):240-249, DOI: 10.1109/TVCG.2015.2467591, 2016.
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D. Jäckle, F. Fischer, T. Schreck and D. A. Keim.
Temporal MDS Plots for Analysis of Multivariate Data.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visual Analytics Science and Technology 2015), 22(01), DOI: 10.1109/TVCG.2015.2467553, 2016.
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2015
V. Gold, M. El-Assady, T. Bögel, M. Butt, K. Holzinger, D. A. Keim and C. Rohrdantz.
Visual Linguistic Analysis of Political Discussions: Measuring Deliberative Quality.
Digital Scholarship in the Humanities, The Oxford University Press, ISSN 2055-7671. - eISSN 2055-768X(), DOI: 10.1093/llc/fqv033, 2015.
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L. Fellner, S. Simon, C. Scherling, M. Witting, S. Schober, C. Polte, P. Schmitt-Kopplin, D. A. Keim, S. Scherer and K. Neuhaus.
Evidence for the recent origin of a bacterial protein-coding, overlapping orphan gene by evolutionary overprinting.
BMC Evolutionary Biology, 15(1):1-14, DOI: 10.1186/s12862-015-0558-z, 2015.
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S. Simon, S. Mittelstädt, B. C. Kwon, A. Stoffel, R. Landstorfer, K. Neuhaus, A. Mühlig, S. Scherer and D. A. Keim.
VisExpress: Visual exploration of differential gene expression data.
Information Visualization, SAGE, DOI: 10.1177/1473871615612883, 2015.
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F. Wanner, W. Jentner, T. Schreck, A. Stoffel, L. Sharalieva and D. A. Keim.
Integrated visual analysis of patterns in time series and text data - Workflow and application to financial data analysis.
Information Visualization, DOI: 10.1177/1473871615576925, 2015.
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L. Shao, T. Schleicher, M. Behrisch, T. Schreck, I. Sipiran and D. A. Keim.
Guiding the Exploration of Scatter Plot Data Using Motif-based Interest Measures.
IEEE Int. Symposium on Big Data Visual Analytics (Best Paper Award), DOI: 10.1109/BDVA.2015.7314294, 2015.
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M. Stein, J. Häußler, D. Jäckle, H. Janetzko, T. Schreck and D. A. Keim.
Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction.
ISPRS International Journal of Geo-Information, Special Issue Advances in Spatio-Temporal Data Analysis and Mining , DOI: 10.3390/ijgi4042159, 2015.
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B. C. Kwon, J. Choo, S.-H. Kim, D. A. Keim, H. Park and J. S. Yi.
Opinion Marks: A Human-Based Computation Approach to Instill Structure into Unstructured Text on the Web.
KDD Workshop on Interactive Data Exploration and Analytics, 2015.
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D. Sacha, Y. Asano, C. Rohrdantz, F. Hamborg, D. A. Keim, B. Braun and M. Butt.
Self Organizing Maps for the Visual Analysis of Pitch Contours.
Proceedings of the 20th Nordic Conference of Computational Linguistics. Vilnius, Lithuania, ACL Anthology, 23():181-190, 2015.
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S. Mittelstädt and D. A. Keim.
Efficient Contrast Effect Compensation with Personalized Perception Models.
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., 34(3):211-220, DOI: 10.1111/cgf.12633, 2015.
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J. Fuchs, D. Jäckle, N. Weiler and T. Schreck.
Leaf Glyph - Visualizing Multi-Dimensional Data with Environmental Cues.
Proc. Int. Conference on Information Visualization Theory and Applications, DOI: 10.5220/0005292801950206, 2015.
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J. Twellmeyer, M. Hutter, M. Behrisch, J. Kohlhammer and T. Schreck.
The Visual Exploration of Aggregate Similarity for Multi-Dimensional Clustering.
Proc. Int. Conference on Information Visualization Theory and Applications, 2015.
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K. Vrotsou, H. Janetzko, C. Navarra, G. Fuchs, D. Spretke, F. Mansmann, N. Andrienko and G. Andrienko.
SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories.
IEEE Transactions on Visualization and Computer Graphics, 21(1):107-121, DOI: 10.1109/TVCG.2014.2337333, 2015.
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2014
J. Bernard, D. Daberkow, D. Fellner, K. Fischer, O. Koepler, J. Kohlhammer, M. Runnwerth, T. Ruppert, T. Schreck and I. Sens.
VisInfo: a digital library system for time series research data based on exploratory search - a user-centered design approach.
International Journal on Digital Libraries (Published online first), Springer, 2014.
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J. Fuchs, P. Isenberg, A. Bezerianos, F. Fischer and E. Bertini.
The Influence of Contour on Similarity Perception of Star Glyphs.
Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE, 20():2251 - 2260, DOI: 10.1109/TVCG.2014.2346426, 2014.
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B. C. Kwon, F. Stoffel, D. Jäckle, B. Lee and D. A. Keim.
VisJockey: Enriching Data Stories through Orchestrated Visualization.
Computation+Journalism, 2014.
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S. Biasotti, I. Pratikakis, U. Castellani and T. Schreck.
Preface to Special Issue on EG Workshop on 3D Object Retrieval 2013.
Springer Visual Computer, 2014.
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D. Perez, L. Zhang, M. Schaefer, T. Schreck, D. A. Keim and I. Diaz.
Interactive Feature Space Extension for Multidimensional Data Projection.
Neurocomputing, 2014.
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B Li, Y. Lu, C Li, A. Godil, T. Schreck, M. Aono, M. Burtscher, Q Chen, N Chowdhury, B Fang, H Fu, T Furuya, H. Li, J Liu, H Johan, R Kosaka, H Koyanagi, R Ohbuchi, A Tatsuma, Y. Wan, C. Zhang and C Zou.
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries.
Elsevier Computer Vision and Image Understanding, DOI: http://dx.doi.org/10.1016/j.cviu.2014.10.006, 2014.
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D. Sacha, H. Senaratne, B. C. Kwon and D. A. Keim.
Uncertainty Propagation and Trust Building in Visual Analytics.
Accepted at IEEE VIS 2014 - Provenance for Sensemaking Workshop (poster paper), 2014.
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H. Senaratne, A. Broering, T. Schreck and D. Lehle.
Moving on Twitter: Using Episodic Hotspot and Drift Analysis to Detect and Characterise Spatial Trajectories.
In Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks. (best student paper award) ACM, 2014.
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L. Shao, M. Behrisch, T. Schreck, I. Sipiran, B. C. Kwon and D. A. Keim.
Identifying Locally Interesting Motifs for Exploration of Scatter Plot Matrices.
Poster Presentation at GI Workshop Big Data Visual Computing – Quantitative Perspectives for Visual Computing, September 22, 2014 Stuttgart, Germany, 2014.
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C. Schätzle, D. Sacha and M. Butt.
Diachronic Visualization of Oblique Subjects in Icelandic.
Workshop Poster: Big Data Visual Computing – Quantitative Perspectives for Visual Computing, 2014.
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H. Suominen, T. Schreck, G. Leroy, H. Hochheiser, L. Goeuriot, L. Kelly, D. Mowery, J. Nualart, G. Ferraro and D. A. Keim.
Task 1 of the CLEF eHealth Evaluation Lab 2014: Visual-Interactive Search and Exploration of eHealth Data.
CLEF 2014 Working Notes, CEUR Workshop Proceedings, 2014.
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L. Kelly, L. Goeuriot, H. Suominen, T. Schreck, G. Leroy, D. Mowery, S. Velupillai, W. Chapman, D. Martinez, G. Zuccon and J. Palotti.
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014.
Proc. Conference and Labs of the Evaluation Forum (CLEF), Springer, 2014.
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R. Gregor, I. Sipiran, G. Papaioannou, T. Schreck, A. Andreadis and P. Mavridis.
Towards Automated 3D Reconstruction of Cultural Heritage Objects.
Proc. EUROGRAPHICS Workshop on Graphics and Cultural Heritage, DOI: 10.2312/gch.20141311, 2014.
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I. Sipiran, R. Gregor and T. Schreck.
Approximate Symmetry Detection in Partial 3D Meshes.
Computer Graphics Forum, 33(7):131-140, DOI: 10.1111/cgf.12481, 2014.
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H. Janetzko, D. Jäckle and T. Schreck.
Geo-Temporal Visual Analysis of Customer Feedback Data Based on Self-Organizing Sentiment Maps.
International Journal On Advances in Intelligent Systems, International Academy, Research, and Industry Association (IARIA), 7(1 and 2):237--246, 2014.
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D. Sacha, A. Stoffel, F. Stoffel, B. C. Kwon, G. Ellis and D. A. Keim.
Knowledge Generation Model for Visual Analytics.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visual Analytics Science and Technology 2014), 20(12):1604 - 1613 , DOI: 10.1109/TVCG.2014.2346481, 2014.
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J. C. Roberts, D. A. Keim, T. Hanratty, R. R. Rowlingson, R. Walker, M. Hall, Z. Jacobson, V. Lavigne, C. Rooney and M. Varga.
From Ill-Defined Problems to Informed Decisions.
EuroVis Workshop on Visual Analytics (2014), 2014.
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I. Sipiran, R. Meruane, B. Bustos, T. Schreck, B Li, Y. Lu and H Johan.
A benchmark of simulated range images for partial shape retrieval.
The Visual Computer, Springer, 30(11):1293-1308, DOI: 10.1007/s00371-014-0937-2, 2014.
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R. Landstorfer, S. Simon, S. Schober, D. A. Keim, S. Scherer and K. Neuhaus.
Comparison of strand-specific transcriptomes of enterohemorrhagic Escherichia coli O157:H7 EDL933 (EHEC) under eleven different environmental conditions including radish sprouts and cattle feces.
BMC Genomics, 15(1):353, DOI: 10.1186/1471-2164-15-353, 2014.
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M. Steiger, J. Bernard, S. Mittelstädt, H. Lücke-Tieke, D. A. Keim, T. May and J. Kohlhammer.
Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks.
Computer Graphics Forum, 33(3):401-410, DOI: 10.1111/cgf.12396, 2014.
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R. Chang, D. Ebert and D. A. Keim.
Introduction to the Special Issue on Interactive Computational Visual Analytics.
ACM TIIS Journal, 2014.
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D. Oelke, H. Strobelt, C. Rohrdantz, I. Gurevych and O. Deussen.
Comparative Exploration of Document Collections: a Visual Analytics Approach.
Computer Graphics Forum, John Wiley & Sons, Ltd, 33(3):201-210, DOI: 10.1111/cgf.12376, 2014.
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S. Mittelstädt, A. Stoffel and D. A. Keim.
Methods for Compensating Contrast Effects in Information Visualization.
Computer Graphics Forum, 33(3):231-240, DOI: 10.1111/cgf.12379, 2014.
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S. Mittelstädt, M. C. Hao, U. Dayal, M. Hsu, J. Terdiman and D. A. Keim.
Advanced Visual Analytics Interfaces for Adverse Drug Event Detection.
In Proceedings of the Working Conference on Advanced Visual Interfaces (AVI 2014), ACM, DOI: 10.1145/2598153.2598156, 2014.
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T. Mayer, B. Wälchli, M. Hund and C. Rohrdantz.
From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets.
Language Processing and Grammars. The role of functionally oriented computational models, John Benjamins, DOI: 10.1075/slcs.150.02may, 2014.
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S. Yoon, G Yoon and T. Schreck.
User-drawn sketch-based 3D object retrieval using sparse coding.
Springer Multimedia Tools and Applications, 2014.
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B Li, Y. Lu, A. Godil, T. Schreck, B. Bustos, A. Ferreira, T Furuya, M Fonseca, H Johan, T Matsuda, R Ohbuchi, P Pascoal and J. Saavedra.
A comparison of methods for sketch-based 3D shape retrieval.
Elsevier Computer Vision and Image Understanding, DOI: 10.1016/j.cviu.2013.11.008, 2014.
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F. Benites, S. Simon and E. Sapozhnikova.
Mining Rare Associations between Biological Ontologies .
PLoS ONE, Public Library of Science, 9(1):e84475, DOI: 10.1371/journal.pone.0084475, 2014.
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H. Janetzko, F. Stoffel, S. Mittelstädt and D. A. Keim.
Anomaly Detection for Visual Analytics of Power Consumption Data.
Computer & Graphics, Elsevier, 38(0):27-37, DOI: 10.1016/j.cag.2013.10.006, 2014.
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L. Fellner, N. Bechtel, M. A. Witting, S. Simon, P. Schmitt-Kopplin, D. A. Keim, S. Scherer and K. Neuhaus.
Phenotype of htgA (mbiA), a recently evolved orphan gene of Escherichia coli and Shigella, completely overlapping in antisense to yaaW.
FEMS Microbiology Letters, 350(1):57--64, DOI: 10.1111/1574-6968.12288, 2014.
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C. Rohrdantz, F. Mansmann, C. North and D. A. Keim.
Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls.
Information Visualization, SAGE, 13(4):313-325, DOI: 10.1177/1473871613481693, 2014.
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2013
S. Kisilevich, D. A. Keim and L. Rokach.
A GIS-based decision support system for hotel room rate estimation and temporal price prediction : The hotel brokers' context.
Decision Support Systems, 54(2):1119--1133, DOI: 10.1016/j.dss.2012.10.038, 2013.
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M. Krstajic, M. Najm-Araghi, F. Mansmann and D. A. Keim.
Story Tracker: Incremental visual text analytics of news story development.
Information Visualization, SAGE, 12(3-4):308-323, DOI: 10.1177/1473871613493996, 2013.
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D. A. Keim, H. Qu and K.-L. Ma.
Big-Data Visualization.
IEEE Computer Graphics and Applications, 2013.
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H. Janetzko, D. Jäckle and T. Schreck.
Comparative visual analysis of large customer feedback based on self-organizing sentiment maps.
Proc. International Conference on Advances in Information Mining and Management, Best Paper Award, 2013.
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J. Bernard, N. Wilhelm, B. Krüger, T. May, T. Schreck and J. Kohlhammer.
MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation.
Transactions on Visualization and Computer Graphics (Proc. VAST), 2013.
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A. Weiler, M. H. Scholl, F. Wanner and C. Rohrdantz.
Event Identification for Local Areas using Social Media Streaming Data.
Proceedings of the 3rd ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2013, New York, NY, USA, June, 23, 2013, DOI: http://dx.doi.org/10.1145/2484702.2484703, 2013.
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M. C. Hao, C. Rohrdantz, H. Janetzko, D. A. Keim, U. Dayal, L.-E. Haug, M. Hsu and F. Stoffel.
Visual sentiment analysis of customer feedback streams using geo-temporal term associations.
Information Visualization, SAGE Publications, 12(3-4):273-290, DOI: 10.1177/1473871613481691, 2013.
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F. Fischer, J. Fuchs, F. Mansmann and D. A. Keim.
BANKSAFE: Visual analytics for big data in large-scale computer networks.
Information Visualization, SAGE Publications, DOI: 10.1177/1473871613488572, 2013.
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B. Hammer, D. A. Keim, N. Lawrence and G. Lebanon.
Preface: Intelligent interactive data visualization.
Data Mining and Knowledge Discovery Journal, 2013.
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D. A. Keim, M. Krstajic, C. Rohrdantz and T. Schreck.
Real-time Visual Analytics of Text Data Streams.
Computer, IEEE Computer Society, 46(7):47-55, DOI: http://dx.doi.org/10.1109/MC.2013.152, 2013.
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T. Schreck, I. Omer, P. Bak and Y. Lerman.
A visual analytics approach for assessing pedestrian friendliness of urban environments.
AGILE International Conference on Geographic Information Science, 2013.
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I. Sipiran, B. Bustos and T. Schreck.
Data-aware 3d partitioning for generic shape retrieval.
Computers & Graphics Special Issue on 3D Object Retrieval, DOI: 10.1016/j.cag.2013.04.002, 2013.
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H. Senaratne, A. Broering and T. Schreck.
Using Reverse Viewshed Analysis to Assess the Location Correctness of Visually Generated VGI.
Transactions in GIS, Wiley-Blackwell, 17(3):369-386, 2013.
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T. von Landesberger, S. Bremm, T. Schreck and D. Fellner.
Feature-based Automatic Identification of Interesting Data Segments in Group Movement Data.
Information Visualization Journal, DOI: 10.1177/1473871613477851 , 2013.
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T. Schreck and D. A. Keim.
Visual Analysis of Social Media Data.
IEEE Computer, Special Issue on Cutting-Edge Research in Visualization. Published online first as early access article. , DOI: 10.1109/MC.2012.430, 2013.
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M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, M. Hund, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu.
Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization.
In Proceedings of Visualization and Data Analysis, 8654():865404--865412, DOI: 10.1117/12.2002948, 2013.
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S. Kisilevich, C. Rohrdantz, M. Veronica and D. A. Keim.
What do you think about this photo? A novel approach to opinion and sentiment analysis of photo comments.
International Journal of Data Mining, Modelling and Management (IJDMMM) , 5(2):138-157, DOI: http://dx.doi.org/10.1504/IJDMMM.2013.053693, 2013.
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2012
D. A. Keim.
Dagstuhl Manifesto.
Informatik-Spektrum, Springer-Verlag, 35(4):311-317, 2012.
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S. Tekir, F. Mansmann and D. A. Keim.
Geodesic Distances for Clustering Linked Text Data.
Journal of Artificial Intelligence and Soft Computing Research, 2(4), 2012.
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H. Strobelt, A. Stoffel, M. Spicker, D. A. Keim and O. Deussen.
Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives.
Comput. Graph. Forum, 31(3):1135-1144, 2012.
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J. Goodall, F. Mansmann and J. Gerth.
Computer Network Visualization (Guest Editorial).
IEEE Network, IEEE , 26(6):4-5, DOI: 10.1109/MNET.2012.6375886, 2012.
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M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu.
Exploring Cyber Physical Data Streams Using Radial Pixel Visualizations.
Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), Honorable Mention Award, DOI: 10.1109/VAST.2012.6400541, 2012.
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D. Luo, J. Yang, M. Krstajic, W. Ribarsky and D. A. Keim.
EventRiver: Visually Exploring Text Collections with Temporal References.
Transactions on Visualization and Computer Graphics, IEEE, 18(1):93-105, 2012.
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M. C. Hao, M. Marwah, H. Janetzko, U. Dayal, D. A. Keim, D. Patnaik, N. Ramakrishnan and R. K. Sharma.
Visual exploration of frequent patterns in multivariate time series.
Information Visualization (IVS), Palgrave Macmillan, 11(1):71--83, DOI: 10.1177/1473871611430769, 2012.
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D. A. Keim, L. Zhang, M. Krstajic and S. Simon.
Solving Problems with Visual Analytics: Challenges and Applications.
Journal of Multimedia Processing and Technologies, Special Issue on Theory and Application of Visual Analytics, 3(1):1-11, 2012.
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T. von Landesberger, S. Bremm, T. Schreck and D. Fellner.
Feature-based visual analysis of interesting data segments in large group movement data.
GIScience workshop on GeoVisual Analytics (Extended abstract), 2012.
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A. Ferreira, H. Laga, T. Schreck and R. Veltkamp.
Preface to special issue on EG Workshop on 3D Object Retrieval 2011.
Springer Visual Computer, Special Issue on 3DOR 2011, DOI: 10.1007/s00371-012-0747-3, 2012.
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A. Tatu, L. Zhang, E. Bertini, T. Schreck, D. A. Keim, S. Bremm and T. von Landesberger.
ClustNails: Visual Analysis of Subspace Clusters.
Tsinghua Science and Technology, Special Issue on Visualization and Computer Graphics, 17(4):419-428, 2012.
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S. Yoon, T. Schreck and G Yoon.
Sparse Coding Based Feature Optimization for Robust 3D Object Retrieval.
IET Electronics Letters, 48():493-495, 2012.
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M. Sedlmair, A. Tatu, T. Munzner and M. Tory.
A Taxonomy of Visual Cluster Separation Factors.
Computer Graphics Forum (Proc. EuroVis 2012), 31(3):1335-1344, 2012.
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A. Stoffel, H. Strobelt, O. Deussen and D. A. Keim.
Document Thumbnails with Variable Text Scaling.
Computer Graphics Forum, 31(3):1165–1173, 2012.
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C. Rohrdantz, M. Hund, T. Mayer, B. Wälchli and D. A. Keim.
The World's Languages Explorer: Visual Analysis of Language Features in Genealogical and Areal Contexts.
Computer Graphic Forum (The definitive version is available at http://diglib.eg.org/ and http://onlinelibrary.wiley.com/), 31(3):935-944, DOI: http://dx.doi.org/10.1111/j.1467-8659.2012.03086.x, 2012.
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C. Rohrdantz, A. Niekler, A. Hautli, M. Butt and D. A. Keim.
Lexical Semantics and Distribution of Suffixes - A Visual Analysis.
Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH, 2012.
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S. Simon, R. Guthke, T. Kamradt and O. Frey.
Multivariate analysis of flow cytometric data using decision trees.
Frontiers in Microbiology, 3(00114), DOI: 10.3389/fmicb.2012.00114, 2012.
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C. Rohrdantz, M. C. Hao, U. Dayal, L.-E. Haug and D. A. Keim.
Feature-based Visual Sentiment Analysis of Text Document Streams.
ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Visual Interfaces for Text Analysis (© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistr), 3(2):26, DOI: http://dx.doi.org/10.1145/2089094.2089102, 2012.
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D. Oelke, D. Spretke, A. Stoffel and D. A. Keim.
Visual Readability Analysis: How to Make Your Writings Easier to Read.
IEEE Transactions on Visualization and Computer Graphics, 18(5):662-674, 2012.
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P. Rodgers, L. Zhang and H. Purchase.
Wellformedness Properties in Euler Diagrams: Which Should be Used?.
IEEE Transactions on Visualization and Computer Graphics, 18(7):1089-1100, DOI: 10.1109/TVCG.2011.143, 2012.
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B. Bustos, T. Schreck, M. Walter, J. M. Barrios, M. Schaefer and D. A. Keim.
Improving 3D Similarity Search by Enhancing and Combining 3D Descriptors.
Multimedia Tools and Applications, 2012.
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2011
I. Pratikakis, T. Schreck, T. Theoharis and R. Veltkamp.
Preface to special issue on EG Workshop on 3D Object Retrieval 2010.
Springer Visual Computer, Special Issue on 3DOR 2010, 27():949-950, 2011.
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M. Daoudi and T. Schreck.
Event Report on Eurographics 2010 Workshop on 3D Object Retrieval.
Wiley-Blackwell Computer Graphics Forum, 1(30):229-230, 2011.
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J. Bernard, J. Brase, D. Fellner, O. Koepler, J. Kohlhammer, T. Ruppert, T. Schreck and I. Sens.
A visual digital library approach for time-oriented scientific primary data.
Springer International Journal of Digital Libraries, ECDL 2010 Special Issue, 2011.
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S. Bremm, T. von Landesberger, J. Bernard and T. Schreck.
Assisted descriptor selection based on visual comparative data analysis.
Wiley-Blackwell Computer Graphics Forum, 30(3):891--900, 2011.
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T. von Landesberger, A. Kuijper, T. Schreck, J. Kohlhammer, J. van Wijk, J.-D. Fekete and D. Fellner.
Visual analysis of large graphs: State-of-the-art and future research challenges.
Wiley-Blackwell Computer Graphics Forum, 2011.
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A. Tatu, G. Albuquerque, M. Eisemann, P. Bak, H. Theisel, M. Magnor and D. A. Keim.
Automated Visual Analysis Methods for an Effective Exploration of High-Dimensional Data.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 17(5):pp. 584-597, 2011.
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F. Wanner, J. Fuchs, D. Oelke and D. A. Keim.
Are my Children Old Enough to Read these Books? Age Suitability Analysis.
POLIBITS - Research journal on Computer science and computer engineering with applications, 2011.
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G. Stapleton, L. Zhang, J. Howse and P. Rodgers.
Drawing Euler Diagrams with Circles: The Theory of Piercings.
IEEE Transactions on Visualization and Computer Graphics, 17(7):1020-1032, 2011.
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G. Stapleton, P. Rodgers, J. Howse and L. Zhang.
Inductively Generating Euler Diagrams.
IEEE Transactions on Visualization and Computer Graphics, 16(1):88-100, 2011.
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D. Oelke, H. Janetzko, S. Simon, K. Neuhaus and D. A. Keim.
Visual Boosting in Pixel-based Visualizations.
Computer Graphics Forum, 30(3):871-880, DOI: 10.1111/j.1467-8659.2011.01936.x, 2011.
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M. Krstajic, E. Bertini and D. A. Keim.
CloudLines: Compact Display of Event Episodes in Multiple Time-Series.
IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 17():2432-2439, DOI: 10.1109/tvcg.2011.179, 2011.
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D. A. Keim and H.-P. Kriegel.
Visualization Techniques for Mining Large Databases: A Comparison.
to be reprinted in Cluster Analysis, 2011.
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M. C. Hao, H. Janetzko, S. Mittelstädt, W. Hill, U. Dayal, D. A. Keim, M. Marwah and R. K. Sharma.
A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series.
Computer Graphics Forum, 30(3):691--700, DOI: 10.1111/j.1467-8659.2011.01918.x, 2011.
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G. Heyer, D. A. Keim, S. Teresniak and D. Oelke.
Interaktive explorative Suche in großen Dokumentbeständen.
Datenbank-Spektrum, Springer Berlin / Heidelberg, 11():195-206, DOI: 10.1007/s13222-011-0072-4, 2011.
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E. Bertini, A. Tatu and D. A. Keim.
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization.
IEEE Symposium on Information Visualization (InfoVis), 17(12):pages 2203-2212, 2011.
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S. Kisilevich, C. S. Ang and M. Last.
Large-scale analysis of self-disclosure patterns among online social networks users: A Russian context.
Knowledge and Information Systems Journal (KAIS) (to appear), 2011.
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G. Andrienko, N. Andrienko, P. Bak, D. A. Keim, S. Kisilevich and S. Wrobel.
A Conceptual Framework and Taxonomy of Techniques for Analyzing Movement.
Journal of Visual Languages and Computing, 2011.
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2010
T. Schreck, T. von Landesberger and S. Bremm.
Techniques for precision-based visual analysis of projected data.
Palgrave Macmillan Information Visualization, 9(3):181--193, 2010.
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G. Andrienko, N. Andrienko, P. Bak, S. Bremm, D. A. Keim, T. von Landesberger, C. Pölitz and T. Schreck.
A framework for using Self-Organizing Maps to analyze spatio-temporal patterns, exemplified by analysis of mobile phone usage.
Taylor & Francis Journal of Location Based Services, 4(3--4):200--221, 2010.
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S. Bremm, T. Schreck, P. Boba, S Held and K. Hamacher.
Computing and visually analyzing mutual information in molecular co-evolution.
BMC Bioinformatics, 11:330(), 2010.
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D. Weiskopf, G. Andrienko, N. Andrienko and P. Bak.
Visuelle Bewegungsanalyse in Video- und Geodaten.
Informatik Spektrum, 2010.
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C. Rohrdantz, S. Koch, C. Jochim, G. Heyer, G. Scheuermann, T. Ertl, H. Schütze and D. A. Keim.
Visuelle Textanalyse.
Informatik-Spektrum., 33(6):601-611, DOI: 10.1007/s00287-010-0483-x, 2010.
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I. Omer, P. Bak and T. Schreck.
Using space-time visual analytic methods for exploring the dynamics of ethnic groups' residential patterns.
International Journal of Geographical Information Science (IJGIS), 2010.
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D. J. Lehmann, G. Albuquerque, M. Eisemann, A. Tatu, D. A. Keim, H. Schumann, M. Magnor and H. Theisel.
Visualisierung und Analyse multidimensionaler Datensätze.
Informatik-Spektrum, Springer Berlin / Heidelberg, 33(6):589-600, DOI: 10.1007/s00287-010-0481-z, 2010.
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T. Mayer, C. Rohrdantz, M. Butt, F. Plank and D. A. Keim.
Visualizing Vowel Harmony.
Linguistic Issues in Language Technology, 4(Issue 2):1-33, 2010.
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D. A. Keim, A. Pras, J. Schönwälder, P. Wong and F. Mansmann.
Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic.
Journal of Network and Systems Management, 18(2):232--236, DOI: 10.1007/s10922-010-9161-1, 2010.
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M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko.
Variable binned scatter plots.
Information Visualization Journal (IVS), 9():194-203, DOI: 10.1057/ivs.2010.4, 2010.
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M. C. Hao, R. K. Sharma, U. Dayal, C. Patel, R. Vennelakanti and D. A. Keim.
Application of Visual Analytics for Thermal State Management in Large Data Centers.
Journal Computer Graphics Forum (CGF), DOI: 10.1111/j.1467-8659.2010.01657.x, 2010.
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A. Botzer, J. Meyer, P. Bak and Y. Parmet.
User Settings of Cue Thresholds for Binary Categorization Decisions.
Journal of Experimental Psychology: Applied, 16(1):1-15, DOI: 10.1037/a0018758, 2010.
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S. Kisilevich, L. Rokach, Y. Elovici and B. Shapira.
Efficient Multidimensional Suppression for K-Anonymity.
IEEE Transactions on Knowledge and Data Engineering, 22(3):334-347, DOI: 10.1109/TKDE.2009.91, 2010.
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P. Bak and J. Meyer.
The Effect of User Characteristics on the Efficiency of Visual Querying.
Behavior and Information Technology (BIT), 2010.
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P. Jankowski, N. Andrienko, G. Andrienko and S. Kisilevich.
Discovering Landmark Preferences and Movement Patterns from Photo Postings.
Transactions in GIS, 14(6):833-852, 2010.
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G. Andrienko, N. Andrienko, S. Bremm, T. Schreck, T. von Landesberger, P. Bak and D. A. Keim.
Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns.
Computer Graphics Forum, 29(3):913-92, 2010.
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G. Andrienko, N. Andrienko, P. Bak, S. Bremm, D. A. Keim, T. von Landesberger, C. Pölitz and T. Schreck.
Analyzing Spatio-temporal Patterns of Mobile Phone Calls With Self-Organizing Maps.
Journal of Location Based Services (JLBS), 2010.
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2009
T. Ruppert, S. Bremm, T. Schreck and J. Kohlhammer.
VisServer - a visual analytics framework.
Eurographics/IEEE Symposium on Visualization (Poster Paper), 2009.
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T. Schreck, J. Bernard, T. Tekušová and J. Kohlhammer.
Visual cluster analysis of trajectory data with interactive Kohonen maps.
Palgrave Macmillan Information Visualization, 8():14--29, 2009.
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S. Bremm, S. Maier, T. von Landesberger and T. Schreck.
Explorative visual sequence analysis (in German).
Dpunkt Datenbank Spektrum, 31():8--16, 2009.
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H. Strobelt, D. Oelke, C. Rohrdantz, A. Stoffel, D. A. Keim and O. Deussen.
Document Cards: A Top Trumps Visualization for Documents.
IEEE Transactions on Visualization and Computer Graphics, 15(6):1145-1152, DOI: 10.1109/TVCG.2009.139, 2009.
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G. Robertson, D. Ebert, S. Eick, D. A. Keim and K. Joy.
Scale and complexity in visual analytics.
Information Visualization, Palgrave Macmillan, 8(4):247--253, DOI: 10.1057/ivs.2009.23, 2009.
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D. A. Keim, M. C. Hao, U. Dayal, H. Janetzko and P. Bak.
Generalized Scatter Plots.
Information Visualization Journal (IVS), Macmillan Publishers Ltd., DOI: 10.1057/ivs.2009.34, 2009.
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Y. Gao, J. Peng, H. Luo, D. A. Keim and J. Fan.
An Interactive Approach for Filtering out Junk Images from Keyword Based Google Search Results.
IEEE Transactions on Circuits and Systems for Video Technology, 19(12), 2009.
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P. Bak, M. Schaefer, A. Stoffel, D. A. Keim and I. Omer.
Density Equalizing Distortion of Large Geographic Point Sets.
Journal of Cartographic and Geographic Information Science (CaGIS), 36(3):237--250, 2009.
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P. Bak, F. Mansmann, H. Janetzko and D. A. Keim.
Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(6):913-920, 2009.
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D. A. Keim, F. Mansmann and J. Thomas.
Visual Analytics: How Much Visualization and How Much Analytics?.
SigKDD Explorations Journal, 11(2), 2009.
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2008
L. Zhang, J. Kuljis and X. Liu.
Information Visualization for DNA Microarray Data Analysis: a Critical Review.
IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, 38(1):42-54, 2008.
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S. Kisilevich, M. Sinder, J. Pelleg and V. Sokolovsky.
Exponential temporal asymptotics of the A + B -> 0 reaction-diffusion process with initially separated reactants.
Physical Review E, 77(4), DOI: 10.1103/PhysRevE.77.046103, 2008.
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M. C. Hao, D. A. Keim, U. Dayal, D. Oelke and C. Tremblay.
Density Displays for Data Stream Monitoring.
Computer Graphics Forum, 27(3):895--902, DOI: 10.1111/j.1467-8659.2008.01222.x, 2008.
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J. Fan, D. A. Keim, Y. Gao and H. Luo.
JustClick: Personalized Image Recommendation via Exploratory Search from Large-Scale Flickr Image Collections.
IEEE Transactions on circuits and systems for video technology, 18(8), 2008.
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2007
T. Schreck, T. Tekušová, J. Kohlhammer and D. Fellner.
Trajectory-based visual analysis of large financial time series data.
ACM SIGKDD Explorations, Special Issue on Visual Analytics, 9():30-37, 2007.
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M. Kramis, V. Wildi, B. Lemke, S. Graf, H. Janetzko and M. Waldvogel.
jSCSI - A Java iSCSI Initiator.
Proc. Jazoon '07, The International Conference on Java Technology, 2007.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and A. Tatu.
Methods and User Interfaces for Effective Retrieval in 3D Databases (in German).
Datenbank - Spektrum - Zeitschrift fuer Datenbank Technologie und Information Retrieval, dpunkt.verlag, 7(20):23--32, 2007.
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D. A. Keim, M. C. Hao, U. Dayal and M. Lyons.
Value-Cell Bar Charts for Visualizing Large Transaction Data Sets.
IEEE Transactions on Visualization and Computer Graphics, 13(4), 2007.
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B. Bustos, D. A. Keim, D. Saupe and T. Schreck.
Content-Based 3D Object Retrieval.
IEEE Computer Graphics and Applications (CG&A), 27(4), 2007.
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D. A. Keim and J. Schneidewind.
Introduction to the Special Issue on Visual Analytics.
SIGKDD Explorations Special Issue on Visual Analytics, 9(2), 2007.
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F. Mansmann, D. A. Keim, S. C. North, B. Rexroad and D. Sheleheda.
Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats.
IEEE Transactions on Visualization and Computer Graphics, IEEE Press, 13(6), 2007.
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D. A. Keim, G. Andrienko, N. Andrienko, P. Jankowski, M.-J. Kraak, A. MacEachren and S. Wrobel.
Geovisual Analytics for Spatial Decision Support: Setting the Research Agenda.
International Journal of Geographical Information Science (IJGIS), Taylor & Francis, 21(8):839--857, 2007.
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M. Sips, J. Schneidewind and D. A. Keim.
Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making.
International Journal of Geographical Information Science (IJGIS), Taylor & Francis, 21(8):879--894, 2007.
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J. Schneidewind, M. Sips and D. A. Keim.
An Automated Approach for the Optimization of Pixel Based Visualizations.
Palgrave Macmillan Information Visualization, 6(1):75-88, 2007.
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2006
J. Arnott, L. Zhang and D. O'Mara.
Information Visualisation in the user interface for augmentative and alternative communication.
Technology & Disability, 18(3):147-161, 2006.
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F. Mansmann and S. Vinnik.
Interactive Exploration of Data Traffic with Hierarchical Network Maps.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 12(6), 2006.
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D. A. Keim, J. Schneidewind, M. C. Hao and U. Dayal.
Business Process Impact Visualization and Anomaly Detection.
Palgrave Macmillan Information Visualization, 5(1), 2006.
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C. Panse, M. Sips, D. A. Keim and S. C. North.
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2006), IEEE Press, 12(5):749-756, 2006.
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C. Panse.
Visualisierung von geographie-bezogenen Daten mit Hilfe von Kartogrammen.
Ausgezeichnete Informatikdissertationen 2005, GI-Edition --- Lecture Notes in Informatics (LNI), 2006.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic.
An Experimental Effectiveness Comparison of Methods for 3D Similarity Search.
International Journal on Digital Libraries, Special, Springer, 6(1):39-54, 2006.
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2005
W. Sheng, S. Swift, L. Zhang and X. Liu.
A Weighted Sum Validity Function for Clustering With a Hybrid Niching Genetic Algorithm.
IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 35(6):1156-1167, 2005.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic.
Feature-based Similarity Search in 3D Object Databases.
ACM Computing Surveys (CSUR), Association for Computing Machinery, 37(4):345-387, 2005.
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D. A. Keim and J. Schneidewind.
Scalable Visual Data Exploration of Large Data Sets via MultiResolution.
JUCS Special Issue on Visual Data Mining, 11(11):1766-1779, 2005.
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D. A. Keim, C. Panse and S. C. North.
Medial-Axis-Based Cartograms.
IEEE Computer Graphics and Applications, 25(3):pp. 60-68, 2005.
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2004
D. A. Keim and W. Lehner.
Data Mining und Data Warehousing.
Datenbank-Spektrum, dpunkt.verlag, 9():5, 2004.
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D. A. Keim and N. Koudas.
Introduction to special issue with best papers from KDD 2002.
Information Systems, Elsevier Science, 29(4):271-272, 2004.
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B. Bustos and G. Navarro.
Probabilistic Proximity Search Algorithms Based on Compact Partitions.
Journal of Discrete Algorithms (JDA), Elsevier Science, 2(1):115-134, 2004.
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D. A. Keim, M. Heczko, A. Hinneburg and M. Wawryniuk:.
Multi-Resolution Similarity Search in Image Databases.
ACM/Springer Multimedia Systems Journal, 10(1):28-40, 2004.
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D. A. Keim, T. Munzner and S. C. North.
Guest Editor's Introduction: Special Section on InfoVis.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(4):446, 2004.
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D. A. Keim and T. Ertl.
Wissenschaftliche Visualisierung.
it - Information Technology, Oldenbourg, 46(3):109-110, 2004.
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T. Ertl and D. A. Keim.
Wissenschaftliche Visualisierung - Ausgewählte Forschungsprojekte.
it - Information Technology, Oldenbourg, 46(3):148-153, 2004.
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D. A. Keim, S. C. North and C. Panse.
CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(1):95-110, 2004.
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D. A. Keim, S. C. North, C. Panse and M. Sips.
Pixel based Visual Mining of Geo-Spatial Data.
Computers & Graphics (CAG), Elsevier Science, 28(3):327-344, 2004.
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D. A. Keim, S. C. North, C. Panse and M. Sips.
Visual Data Mining in Large Geo-Spatial Point Sets.
IEEE Computer Graphics and Applications (CG&A), Special Issue: Visual Analytics, IEEE Press, 12(5):36-44, 2004.
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2003
B. Bustos, G. Navarro and E. Chávez.
Pivot Selection Techniques for Proximity Searching in Metric Spaces.
Pattern Recognition Letters, 24(14):2357--2366, 2003.
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A. Hinneburg, D. A. Keim and M. Wawryniuk:.
Using Projections to Visually Cluster High--Dimensional Data.
IEEE Computing in Science & Engineering, 5(2):14--25, 2003.
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D. A. Keim, S. C. North, C. Panse and J. Schneidewind.
Visualizing Geographic Information: VisualPoints vs CartoDraw.
Palgrave Macmillan -- Information Visualization, 2(1):58--67, 2003.
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A. Hinneburg and D. A. Keim.
A General Approach to Clustering in Large Databases with Noise.
Knowledge and Information Systems (KAIS), Springer, 5(4):387-415, 2003.
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D. J. Hand, D. A. Keim and R. T. Ng.
Guest Editorial. Data Mining and Knowledge Discovery.
Data Mining and Knowledge Discovery, 7(4):347-348, 2003.
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D. J. Hand, D. A. Keim and R. T. Ng.
Guest Editorial. Data Mining and Knowledge Discovery.
Data Mining and Knowledge Discovery, 7(3):239-240, 2003.
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2002
D. A. Keim.
Datenvisualisierung und Data Mining.
Datenbank-Spektrum, 2(2):30--39, 2002.
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M. Heczko, D. A. Keim, D. Saupe and D. Vranic.
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten.
Proc. Datenbanksysteme in Büro, Technik und Wissenschaft (BTW'01), Oldenburg, 2001; extended version in Datenbank Spektrum, 2(1):54--63, 2002.
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S. G. Eick and D. A. Keim.
Visual Data Mining.
KDD Workshop Report. SIGKDD Explorations, 3(2):70, 2002.
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D. A. Keim.
Information Visualization and Visual Data Mining.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(1):1--8, 2002.
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D. A. Keim, M. C. Hao, U. Dayal and M. Hsu.
Pixel Bar Charts: A Visualization Technique for Very Large Multi-Attribute Data Sets.
Visualization, San Diego 2001, extended version in: Information Visualization Journal, Palgrave, 1(2), 2002.
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D. A. Keim, M. C. Hao and U. Dayal.
Hierarchical Pixel Bar Charts.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(3):255--269, 2002.
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D. A. Keim.
Data Mining mit bloßem Auge.
Spektrum der Wissenschaft, 2002.
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2001
C. Böhm, S. Berchtold and D. A. Keim.
Searching in High--Dimensional Spaces: Index Structures for Improving the Performance of Multimedia Databases.
ACM Computing Surveys, 33(3):322--373, 2001.
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D. A. Keim.
Visual Exploration of Large Data Sets.
Communications of the ACM (CACM), 44(8):38--44, 2001.
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2000
S. Berchtold, C. Böhm, D. A. Keim, H.-P. Kriegel and X. Xu.
Optimal Multidimensional Query Processing Using Tree Striping.
Lecture Notes in Computer Science, Springer, 1874(), 2000.
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S. Berchtold, D. A. Keim, H.-P. Kriegel and T. Seidl.
Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High--Dimensional Space.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 12(1):45--57, 2000.
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D. A. Keim.
Designing Pixel-oriented Visualization Techniques: Theory and Applications.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 6(1):59--78, 2000.
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D. A. Keim and A. Hinneburg.
Interesting KDD--News from SIGMOD'99.
SIGKDD Explorations, 1(2):117, 2000.
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1999
D. A. Keim and A. Hinneburg.
Clustering Methods for Large Databases: From the Past to the Future.
SIGMOD Record, 28(2), DOI: 10.1145/304181.304232, 1999.
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A. Hinneburg, M. Wawryniuk: and D. A. Keim.
HD-Eye: Visual Mining of High-Dimensional Data.
IEEE Computer Graphics & Applications Journal, 19(5):22--31, 1999.
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E. Koutsofios, D. A. Keim and S. C. North.
Visualizing Large Telecommunication Data Sets.
IEEE Computer Graphics & Applications Journal, 19(3):16--19, 1999.
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1997
S. Berchtold, D. A. Keim and H.-P. Kriegel.
Using Extended Feature Objects for Partial Similarity Retrieval.
VLDB Journal, 6(4):333--348, 1997.
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1996
D. A. Keim.
Pixel-oriented Visualization Techniques for Exploring Very Large Databases.
Journal of Computational and Graphical Statistics, 5(1):58--77, 1996.
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D. A. Keim.
Pixel-oriented Database Visualizations.
SIGMOD Record, Special Issue on Information Visualization, 1996.
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1995
D. A. Keim and H.-P. Kriegel.
Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data.
Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995.
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D. A. Keim, R. D. Bergeron and R. M. Pickett.
Test Data Sets for Evaluating Data Visualization Techniques.
Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995.
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1994
D. A. Keim and H.-P. Kriegel.
VisDB: Database Exploration using Multidimensional Visualization.
IEEE Computer Graphics & Application Journal, 14(5):40--49, 1994.
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