Research
- Visual Analytics of Time Series Analysis
- Periodic and Cyclic Structure of Time
- Visualization of Time Series Data
- Statistical Time Series Models
Markus Bögl
Function
University Assistant
Address
Favoritenstraße 9-11, A-1040 Vienna, Austria
Phone
+43 (1) 58801 - 188218
Open Student Topics
| Title Sort ascending | Scope | Area |
|---|---|---|
| Visualizing Multiple Types of Uncertainty | BA, PR, MA | Visual Analytics (VA) |
| Visualization and Imputation of Cyclic/Seasonal Time Series | SE, BA, PR | Visual Analytics (VA) |
| Processing and Segmenting Road Cycling Data for Visual Analysis | BA, PR | Visual Analytics (VA) |
| Predictive Visual Analytics - Explainability and Trust | SE, BA, MA | Information Visualization (IV), Visual Analytics (VA) |
Publications
|
Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data", , 2018. paper |
|
Martin Röhlig, Martin Luboschik, Heidrun Schumann, 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 |
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Bilal Alsallakh, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Bilal Esmael, Arghad Arnaout, Gerhard Thonhauser, Philipp Zöllner, "A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data", EuroVis Workshop on Visual Analytics (EuroVA), pp. 31-35, 2014. paper |