Publications

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2014
Federico P, Hoffmann S, Rind A, Aigner W, Miksch S. Qualizon Graphs: Space-Efficient Time-Series Visualization with Qualitative Abstractions. In: Proceedings of the 12th International Working Conference on Advanced Visual Interfaces (AVI2014). Como (Italy): ACM; 2014. p. 273-80.application/pdf iconpaper
2014
Amor-Amorós A, Federico P, Miksch S. TimeGraph: a Data Management Framework for Visual Analytics of Large Multivariate Time-Oriented Networks. In: Poster Proceedings of the IEEE Visualization Conference (VIS). Paris, France; 2014.application/pdf iconpaper video/mp4 iconvideo
2014
Bögl M, Aigner W, Filzmoser P, Gschwandtner T, Lammarsch T, Miksch S, et al. Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions. In: Perer A, Bertini E, Maciejewski R, Sun J, editors. Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics. Paris, France; 2014.application/pdf iconpaper
2014
Röhlig M, Luboschik M, Schuman H, Bögl M, Alsallakh B, Miksch S. Analyzing Parameter Influence on Time-Series Segmentation and Labeling. In: Poster Proceedings of the IEEE Visualization Conference (VIS). Paris, France; 2014.image/png iconThe basic concept application/pdf iconpaper video/mp4 iconvideo
2014
Alsallakh B, Miksch S, Rauber A. Towards a Visualization of Multi-faceted Search Results. In: Mutschke P, Mayr P, Scharnhorst A, editors. Workshop on Knowledge Maps and Information Retrieval (KMIR). Vol 1311. London: CEUR Workshop Proceedings; 2014. 4.application/pdf iconpaper
2014
Kriglstein S, Pohl M, Suchy N, Gärtner J, Gschwandtner T, Miksch S. Experiences and Challenges with Evaluation Methods in Practice: A Case Study. In: Lam H, Isenberg P, Isenberg T, Sedlmair M, editors. Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV '14). Paris, France: ACM; 2014. p. 118-25.
2014
Federico P, Amor-Amorós A, Miksch S. Knowledge-assisted EHR visualization for cohorts. In: Plaisant C, Miksch S, Gschwandtner T, Malik S, editors. Proceedings of the IEEE Vis Workshop on Visualizing Electronic Health Record Data (EHRVis 2014). Paris; 2014.application/pdf iconpaper
2014
2014
Gschwandtner T, Aigner W, Miksch S, Gärtner J, Kriglstein S, Pohl M, et al. TimeCleanser: A Visual Analytics Approach for Data Cleansing of Time-Oriented Data. In: Lindstaedt S, Granitzer M, Sack H, editors. 14th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2014). Graz, Austria: ACM Press; 2014. p. 1-8.application/pdf iconpaper.pdf
2014