Publications

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Filters: Project is [Project Phase 2] Topology-based Visual Analysis of Information Spaces  [Clear All Filters]
2015
Oesterling P, Jähnichen P, Heyer G, Scheuermann G.  2015.  Topological visual analysis of clusterings in high-dimensional information spaces. it – Information Technology. 57(1):3-10.
Oesterling P, Heine C, Weber GH, Morozov D, Scheuermann G.  2015.  Computing and Visualizing Time-Varying Merge Trees for High-Dimensional Data. Topology-Based Methods in Visualization (TopoInVis).
Jähnichen P, Oesterling P, Heyer G, Liebmann T, Scheuermann G, Kuras C.  2015.  Exploratory Search Through Visual Analysis of Topic Models. Digital Humanities Quarterly (special issue).
2014
Liebmann T, Oesterling P, Jänicke S, Scheuermann G.  2014.  A Geological Metaphor for Geospatial-temporal Data Analysis.. IVAPP ’14: Proceedings of the 5th International Conference on Information Visualization Theory and Application. :161–169.
Oesterling P, Heine C, Weber GH, Scheuermann G.  2014.  A Topology-Based Approach to Visualize the Thematic Composition of Document Collections. Text Mining, Theory and Applications of Natural Language Processing. :63-85.
2013
Liebmann T.  2013.  Design und Implementierung einer Landschaftsmetapher zur visuellen Analyse geografisch und zeitlich markierter Daten.
Oesterling P, Heine C, Weber GH, Scheuermann G.  2013.  Visualizing nD Point Clouds as Topological Landscape Profiles to Guide Local Data Analysis. IEEE Transactions on Visualization and Computer Graphics. 19:514–526.
2012
Niekler A, Jähnichen P, Heyer G.  2012.  ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis. ECML-PKDD 2012.
Niekler A, Jähnichen P.  2012.  Matching Results of Latent Dirichlet Allocation for Text. Proceedings of ICCM 2012, 11th International Conference on Cognitive Modeling. :317–322.
2009
Oesterling P.  2009.  Visual Analysis of Information Spaces using Topological Landscapes.