Publications

Christian Bors, Theresia Gschwandtner, Silvia Miksch, "QualityFlow: Provenance Generation from Data Quality", Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015, pp. 3, 2015. paper
Reinhardt Wenzina, "GOALS: Using TimeML Annotations for an Information Extraction Approach to Support the Modeling of Clinical Guidelines", , vol. PhD, 2015. Download
Markus Wagner, Fabian Fischer, Robert Luh, Andrea Haberson, Alexander Rind, Daniel Keim, Wolfgang Aigner, "A Survey of Visualization Systems for Malware Analysis", Eurographics Conference on Visualization (EuroVis) State of The Art Reports, pp. 105–125, 2015. paper Supplementary Material
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner, "Visual Analytics for Fraud Detection and Monitoring", Poster Proceedings of the IEEE Visualization Conference 2015, 2015. paper
Florian Windhager, Albert Amor-Amorós, Michael Smuc, Paolo Federico, Lukas Zenk, Silvia Miksch, "A concept for the exploratory visualization of patent network dynamics", Proceedings of the 6th International Conference on Information Visualization Theory and Applications, 2015. paper
Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski, "Visualization Techniques for Time-Oriented Data", Interactive Data Visualization: Foundations, Techniques, and Applications, pp. 253–284, 2015. paper Book webpage
Paolo Federico, Jürgen Unger, Albert Amor-Amorós, Lucia Sacchi, Denis Klimov, Silvia Miksch, "Gnaeus: utilizing clinical guidelines for a knowledge-assisted visualisation of EHR cohorts", Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA), pp. 79-83, 2015. paper
Bilal Alsallakh, Luana Micallef, Wolfgang Aigner, Helwig Hauser, Silvia Miksch, Peter Rodgers, "Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges", Eurographics conference on Visualization (EuroVis)– State of The Art Reports, pp. 1-21, 2014. paper Survey Browser
Paolo Federico, Albert Amor-Amorós, Silvia Miksch, "Knowledge-assisted EHR visualization for cohorts", Proceedings of the IEEE Vis Workshop on Visualizing Electronic Health Record Data (EHRVis 2014), 2014. paper
Theresia Gschwandtner, Wolfgang Aigner, Silvia Miksch, Johannes Gärtner, Simone Kriglstein, Margit Pohl, Nikolaus Suchy, "TimeCleanser: A Visual Analytics Approach for Data Cleansing of Time-Oriented Data", 14th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2014), pp. 1-8, 2014.
Peter Bodesinsky, Bilal Alsallakh, Theresia Gschwandtner, Silvia Miksch, "Visual Process Mining: Event Data Exploration and Analysis", Poster Proceedings of the IEEE Visualization Conference (VIS), 2014. paper
Bilal Alsallakh, Allan Hanbury, Helwig Hauser, Silvia Miksch, Andreas Rauber, "Visual Methods for Analyzing Probabilistic Classification Data", IEEE Transactions on Visualization and Computer Graphics, vol. 20, pp. 1703--1712, 2014. paper Examples with public classification datasets The visual and interaction metaphors
Christian Bors, Theresia Gschwandtner, Silvia Miksch, Johannes Gärtner, "QualityTrails: Data Quality Provenance as a Basis for Sensemaking", Proceedings of the IEEE VIS Workshop on Provenance for Sensemaking, pp. 1–2, 2014. paper
Margit Pohl, Florian Scholz, Simone Kriglstein, Bilal Alsallakh, Silvia Miksch, "Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study", HCI International, pp. 76--86, 2014.
Bilal Alsallakh, Silvia Miksch, Andreas Rauber, "Towards a Visualization of Multi-faceted Search Results", Workshop on Knowledge Maps and Information Retrieval (KMIR), vol. 1311, pp. 4, 2014. paper
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions", Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics, 2014. paper
Daniel Archambault, James Abello, Jessie Kennedy, Stephen Kobourov, Kwan-Liu Ma, Silvia Miksch, Chris Muelder, Alexandru Telea, "Temporal Multivariate Networks", Multivariate Network Visualization, pp. 151-174, 2014. paper
Albert Amor-Amorós, Paolo Federico, Silvia Miksch, "TimeGraph: a Data Management Framework for Visual Analytics of Large Multivariate Time-Oriented Networks", Poster Proceedings of the IEEE Visualization Conference (VIS), 2014. paper TimeGraph teaser
Tim Lammarsch, Wolfgang Aigner, Silvia Miksch, Alexander Rind, "Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing", Death of the Desktop - Workshop co-located with IEEE VIS 2014, 2014. paper
Silvia Miksch, Wolfgang Aigner, "A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data", Computers & Graphics, Special Section on Visual Analytics, vol. 38, pp. 286-290, 2014. paper
Martin Röhlig, Martin Luboschik, Heidrun Schuman, Markus Bögl, Bilal Alsallakh, Silvia Miksch, "Analyzing Parameter Influence on Time-Series Segmentation and Labeling", Poster Proceedings of the IEEE Visualization Conference (VIS), 2014. paper Preview
Bilal Alsallakh, "Visual Analytics of Large Homogeneous Data - Categorical, Set-typed, and Classification Data", Institute of Software Technology & Interactive Systems, vol. PhD in Computer Science, pp. 165, 2014. paper
, "Knowledge Representation for Health Care, 6th International Workshop, KR4HC 2014, held as part of the Vienna Summer of Logic, VSL 2014, Vienna, Austria, July 21, 2014. Revised Selected Papers", Lecture Notes in Computer Science, vol. 8903, pp. 175, 2014. paper
Tim Lammarsch, Wolfgang Aigner, Alessio Bertone, Silvia Miksch, Alexander Rind, "Mind the Time: Unleashing Temporal Aspects in Pattern Discovery", Computers & Graphics, vol. 38, pp. 38-50, 2014. paper
Paolo Federico, Stephan Hoffmann, Alexander Rind, Wolfgang Aigner, Silvia Miksch, "Qualizon Graphs: Space-Efficient Time-Series Visualization with Qualitative Abstractions", Proceedings of the 12th International Working Conference on Advanced Visual Interfaces (AVI2014), pp. 273-280, 2014. paper http://www.cvast.tuwien.ac.at/QualizonGraphs