Publications

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2009
Bremm S, Maier S, von Landesberger T, Schreck T.  2009.  Ein flexibles System für die explorative visuelle Sequenz-Analyse. Datenbank Spektrum.
Bernard J, von Landesberger T, Bremm S, Schreck T.  2009.  Micro-Macro Views for Visual Trajectory Cluster Analysis. Eurographics/IEEE Symposium on Visualization (EuroVis).
von Landesberger T, Görner M, Rehner R, Schreck T.  2009.  A System for Interactive Visual Analysis of Large Graphs Using Motifs in Graph Editing and Aggregation. Vision Modeling Visualization Workshop (VMV 2009) (accepted). Abstract
von Landesberger T, Görner M, Schreck T.  2009.  Visual Analysis of Graphs with Multiple Connected Components. IEEE Symposium on Visual Analytics Science and Technology (VAST 2009).
von Landesberger T, Bremm S, Rezaei P, Schreck T.  2009.  Visual Analytics of Time Dependent 2D Point Clouds. EG Computer Graphics International (CGI). Abstract
2010
Andrienko G, Andrienko N, Bak P, Bremm S, Keim DA, von Landesberger T, Pölitz C, Schreck T.  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.
Andrienko G, Andrienko N, Bremm S, Schreck T, von Landesberger T, Keim DA, Bak P.  2010.  Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns. EuroVis 2010. :913-922.
von Landesberger T, Schreck T, Bremm S.  2010.  Techniques for precision-based visual analysis of projected data. Information Visualization. 9:181-193(13). Abstract
Schreck T, von Landesberger T, Bremm S.  2010.  Techniques for Precision-Based Visual Analysis of Projected Data.. IS&T/SPIE Conference on Visualization and Data Analysis (VDA 2010). Abstract
von Landesberger T, Kuijper A, Schreck T, Kohlhammer J, vanWijk J, Fekete J-D, Fellner D.  2010.  Visual Analysis of Large Graphs. Eurographics.
von Landesberger T, Bremm S, Bernard J, Schreck T.  2010.  Smart Query Definition for Content-Based Search in Large Sets of Graphs. International Symposium on Visual Analytics Science and Technology (EuroVAST).
2011
Bremm S, von Landesberger T, Bernard J, Schreck T.  2011.  Assisted Descriptor Selection Based on Visual Comparative Data Analysis. Wiley-Blackwell Computer Graphics Forum, Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization 2011. To appear..
Bremm S, von Landesberger T, Andrienko G, Andrienko N, Schreck T.  2011.  Interactive Analysis of Object Group Changes over Time. EuroVA International Workshop on Visual Analytics.
Bremm S, von Landesberger T, Heß M, Schreck T, Weil P, Hamacher K.  2011.  Interactive Comparison of Multiple Trees. IEEE Symposium on Visual Analytics Science and Technology.
Bernard J, von Landesberger T, Bremm S, Schreck T.  2011.  Multiscale Visual Quality Assessment for Cluster Analysis with Self-Organizing Maps. IS&T/SPIE Conference on Visualization and Data Analysis.
von Landesberger T, Kuijper A, Schreck T, Kohlhammer J, vanWijk J, Fekete J-D, Fellner D.  2011.  Visual analysis of large graphs: State-of-the-art and future research challenges. Wiley-Blackwell Computer Graphics Forum, Online first.
Bertini E, Buchmüller J, Fischer F, Huber S, Lindemeier T, Maaß F, Mansmann F, Ramm T, Regenscheit M, Rohrdantz C et al..  2011.  Visual Analytics of Terrorist Activities Related to Epidemics. Proc. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2011 - Grand Challenge Award).
Schreck T.  2011.  Visual Feature Space Analysis - Methods and Applications. LWA KDML Workshop 2011.
2012
Tatu A, Zhang L, Bertini E, Schreck T, Keim DA, Bremm S, von Landesberger T.  2012.  ClustNails: Visual Analysis of Subspace Clusters. Tsinghua Science and Technology, Special Issue on Visualization and Computer Graphics. 17(4):419-428.
Bremm S, von Landesberger T, Schreck T, Fellner D.  2012.  Feature-based visual analysis of interesting data segments in large group movement data. GIScience workshop on GeoVisual Analytics.
Tatu A, Maaß F, Färber I, Bertini E, Schreck T, Seidl T, Keim DA.  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.
2013
von Landesberger T, Bremm S, Schreck T, Fellner D.  2013.  Feature-based Automatic Identification of Interesting Data Segments in Group Movement Data. Information Visualization.