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Publications
Filters: Author is D.A. Keim [Clear All Filters]
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2013. Visual Analytics of Movement.
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2012. ClustNails: Visual Analysis of Subspace Clusters. Tsinghua Science and Technology, Special Issue on Visualization and Computer Graphics. 17(4):419-428.
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2012. Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. Procedings of IEEE Symposium on Visual Analytics Science and Technology (VAST). :63-72.
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2012. What’s Going On? How Twitter and Online News Can Work in Synergy to Increase Situational Awareness 2nd IEEE Workshop on Interactive Visual Text Analytics ”Task-Driven Analysis of Social Media” as part of the IEEE VisWeek 2012.
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2011. Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data. IEEE Trans. Visualization and Computer Graphics.
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2011. Challenging Problems in Geovisual Analytics. Visual Languages and Computing.
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2011. Challenging Problems of Geospatial Visual Analytics. Journal of Visual Languages and Computing. v.22 (4):251-256.
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2011. A Conceptual Framework and Taxonomy of Techniques for Analyzing Movement. Journal of Visual Languages and Computing. v.22 (3):213-232.
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2011. Special issue on "Challenging Problems in Geovisual Analytics". v.22 (4):251-304.
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2011. Visual Analytics of Terrorist Activities Related to Epidemics. Proc. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2011 - Grand Challenge Award).
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2010. Event-based analysis of people's activities and behavior using Flickr and Panoramio geotagged photo collections. IV 2010. 14th International Conference on Information Visualization.
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2010. A Framework for Using Self-Organizing Maps to Analyze Spatio-Temporal Patterns, Exemplified by Analysis of Mobile Phone Usage. Journal of Location Based Services.
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2010. GEO-SPADE: A generic google-earth based framework for analysis and exploration of spatiotemporal data.. 12th International Conference on Enterprise Information Systems. :13-20.
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2010. Mashing up for the Masses. Towards a User Oriented Visual Exploration of Interesting Touristic Places Using Collections of Geotagged Photos.. International Journal On Advances in Intelligent Systems (submitted).
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2010. A novel approach to mining travel sequences using collections of geo-tagged photos. . Proceedings of the 13th AGILE International Conference on Geographic Information Science.
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2010. P-DBSCAN: A density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. 1st International Conference on Computing for Geospatial Research & Application.
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2010. Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns. EuroVis 2010. :913-922.
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2010. Visualisierung und Analyse multi-dimensionaler Datensätze. Informatik Spektrum.
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2010. Visuelle Textanalyse. Informatik Spektrum.
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2010. Where Would You Go on Your Next Vacation? ‐ A Framework for Visual Exploration of Attractive Places GeoProcessing 2010.
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2010. “Beautiful picture of an ugly place”. Exploring photo collections using opinion and sentiment analysis of user comments. Computational Linguistics & Applications (CLA 10). :419-428.
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2009. Demo-Paper: Analysis of community-contributed space- and time-referenced data (by example of Panoramio photos). ACM-GIS Conference. Abstract

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