Time-Oriented Data

V. Filipov, Arleo, A., von Landesberger, T., and Archambault, D., “Back to the Graphs: A Collection of Datasets and Quality Criteria for Temporal Networks Layout and Visualization”. 2023.
T. Gschwandtner and Erhart, O., “Know Your Enemy: Identifying Quality Problems of Time Series Data”, in IEEE Pacific Visualization Symposium (PacificVis '18), 2018, pp. 205-214.
A. Rind, Pfahler, D., Niederer, C., and Aigner, W., “Exploring Media Transparency With Multiple Views”, in Proceedings of the 9th Forum Media Technology 2016, 2016, pp. 65-73.
A. Rind, Federico, P., Gschwandtner, T., Aigner, W., Doppler, J., and Wagner, M., “Visual Analytics of Electronic Health Records with a Focus on Time”, in New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners, Springer, 2017, pp. 65-77.
W. Aigner, Miksch, S., Schumann, H., and Tominski, C., “Visualization Techniques for Time-Oriented Data”, in Interactive Data Visualization: Foundations, Techniques, and Applications, 2ndnd ed., A K Peters/CRC Press, 2015, pp. 253–284.
T. Gschwandtner et al., “TimeCleanser: A Visual Analytics Approach for Data Cleansing of Time-Oriented Data”, in 14th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2014), 2014, pp. 1-8.
W. Aigner, “Interactive Visualization and Data Analysis: Visual Analytics With a Focus on Time”. 2013.
T. Lammarsch, Aigner, W., Bertone, A., Miksch, S., and Rind, A., “Mind the Time: Unleashing Temporal Aspects in Pattern Discovery”, Computers & Graphics, vol. 38, no. Special Issue on Visual Analytics, pp. 38-50, 2014.
S. Miksch and Aigner, W., “A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data”, Computers & Graphics, Special Section on Visual Analytics, vol. 38, pp. 286-290, 2014.
S. Kriglstein, Pohl, M., and Stachl, C., “Animation for Time-oriented Data: An Overview of Empirical Research”, in 16th International Conference on Information Visualisation (IV), 2012, pp. 30 -35.