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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, 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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Theresia Gschwandtner, Oliver Erhart, "Know Your Enemy: Identifying Quality Problems of Time Series Data",
IEEE Pacific Visualization Symposium (PacificVis '18), pp. 205-214, 2018.
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Alexander Rind, Paolo Federico, Theresia Gschwandtner, Wolfgang Aigner, Jakob Doppler, Markus Wagner, "Visual Analytics of Electronic Health Records with a Focus on Time",
New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners, pp. 65-77, 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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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.
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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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Theresia Gschwandtner, Johannes Gärtner, Wolfgang Aigner, Silvia Miksch, "A Taxonomy of Dirty Time-Oriented Data",
Lecture Notes in Computer Science (LNCS 7465): Multidisciplinary Research and Practice for Information Systems (Proceedings of the CD-ARES 2012), pp. 58 -- 72, 2012.
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