Research
- Visual Analytics of Time Series Analysis
- Periodic and Cyclic Structure of Time
- Visualization of Time Series Data
- Statistical Time Series Models
Favoritenstraße 9-11, A-1040 Vienna, Austria
Title Sort descending | Scope | Area |
---|---|---|
Predictive Visual Analytics - Explainability and Trust | SE, BA, MA | Information Visualization (IV), Visual Analytics (VA) |
Processing and Segmenting Road Cycling Data for Visual Analysis | BA, PR | Visual Analytics (VA) |
Visualization and Imputation of Cyclic/Seasonal Time Series | SE, BA, PR | Visual Analytics (VA) |
Visualizing Multiple Types of Uncertainty | BA, PR, MA | Visual Analytics (VA) |
Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, "Visual Support for Rastering of Unequally Spaced Time Series", Data Science, Statistics & Visualisation Conference (DSSV), 2017. paper | |
Jürgen Bernard, Eduard Dobermann, Markus Bögl, Martin Röhlig, Anna Vögele, Jörn Kohlhammer, "Visual-Interactive Segmentation of Multivariate Time Series", EuroVis Workshop on Visual Analytics (EuroVA), 2016. paper | |
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series", Poster Proceedings of the IEEE Visualization Conference 2015, 2015. paper Preview Video |