Visual analytics

P. Bodesinsky, Alsallakh, B., Gschwandtner, T., and Miksch, S., “Exploration and Assessment of Event Data”, in Sixth International EuroVis Workshop on Visual Analytics (EuroVA) 2015, 2015, p. 5.

M. Bögl et al., “Integrating Predictions in Time Series Model Selection”, in Proceedings of the EuroVis Workshop on Visual Analytic, EuroVA, 2015, pp. 73-77.

F. Windhager, Amor-Amorós, A., Smuc, M., Federico, P., Zenk, L., and Miksch, S., “A concept for the exploratory visualization of patent network dynamics”, in Proceedings of the 6th International Conference on Information Visualization Theory and Applications, 2015.

T. Lammarsch, Aigner, W., Miksch, S., and Rind, A., “Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing”, in Death of the Desktop - Workshop co-located with IEEE VIS 2014, 2014.

M. Bögl et al., “Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions”, in Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics, 2014.

P. Federico, Amor-Amorós, A., and Miksch, S., “Knowledge-assisted EHR visualization for cohorts”, in Proceedings of the IEEE Vis Workshop on Visualizing Electronic Health Record Data (EHRVis 2014), 2014.

M. Röhlig, Luboschik, M., Schumann, H., Bögl, M., Alsallakh, B., and Miksch, S., “Analyzing Parameter Influence on Time-Series Segmentation and Labeling”, in Poster Proceedings of the IEEE Visualization Conference (VIS), 2014.

B. Alsallakh, “Visual Analytics of Large Homogeneous Data - Categorical, Set-typed, and Classification Data”, Vienna University of Technology, Vienna, 2014.

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.

D. Archambault et al., “Temporal Multivariate Networks”, in Multivariate Network Visualization, Switzerland: Springer International Publishing, 2014, pp. 151-174.