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Christian Bors, "Facilitating Data Quality Assessment Utilizing Visual Analytics: Tackling Time, Metrics, Uncertainty, and Provenance",
Institute of Visual Computing and Human-Centered Technology, vol. PhD, Dr.-techn., 2020.
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Christian Bors, Christian Eichner, Silvia Miksch, Christian Tominski, Heidrun Schumann, Theresia Gschwandtner, "Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques",
EuroVis 2020, 2020.
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Christian Bors, Jürgen Bernard, Markus Bögl, Theresia Gschwandtner, Jörn Kohlhammer, Silvia Miksch, "Quantifying Uncertainty in Multivariate Time Series Pre-Processing",
EuroVis Workshop on Visual Analytics (EuroVA), 2019.
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Jürgen Bernard, Marco Hutter, Heiko Reinemuth, Hendrik Pfeifer, Christian Bors, Jörn Kohlhammer, "Visual-Interactive Preprocessing of Multivariate Time Series Data",
Computer Graphics Forum, vol. 38, pp. 11, 2019.
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Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Capturing and Visualizing Provenance From Data Wrangling",
IEEE Computer Graphics and Applications, vol. 39, pp. 15, 2019.
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Christian Bors, John Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, Robert Laramee, "A Provenance Task Abstraction Framework",
IEEE Computer Graphics and Applications, vol. 39, pp. 15, 2019.
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Christian Bors, Theresia Gschwandtner, Simone Kriglstein, Silvia Miksch, Margit Pohl, "Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics",
Journal of Data and Information Quality (JDIQ), vol. 10, pp. 3:1–3:26, 2018.
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Jürgen Bernard, Christian Bors, Markus Bögl, Christian Eichner, Theresia Gschwandtner, Silvia Miksch, Heidrun Schumann, Jörn Kohlhammer, "Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series",
EuroVis Workshop on Visual Analytics (EuroVA) 2018, pp. 49–53, 2018.
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Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Visually Exploring Data Provenance and Quality of Open Data",
EuroVis 2018 - Posters, pp. 9–11, 2018.
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Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Uncertainty types in segmenting and labeling time series data",
, 2018.
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Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data",
, 2018.
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Christian Bors, Markus Bögl, Jürgen Bernard, Theresia Gschwandtner, Silvia Miksch, "Quantifying Uncertainty in Time Series Data Processing",
, 2018.
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Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, "Visual Support for Rastering of Unequally Spaced Time Series",
10th International Symposium on Visual Information Communication and Interaction (VINCI), pp. 53-57, 2017.
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Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, "Visual Support for Rastering of Unequally Spaced Time Series",
Data Science, Statistics & Visualisation Conference (DSSV), 2017.
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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.
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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.
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