Talks and Poster Presentations (with Proceedings-Entry):
M. Bögl, C. Bors, T. Gschwandtner, S. Miksch:
"Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data";
Poster: Eurographics / IEEE VGTC Conference on Visualization (EuroVis 2018),
Brünn;
2018-06-04
- 2018-06-08; in: "Posters",
The Eurographics Association,
(2018),
45
- 47.
English abstract:
The segmenting and labeling of multivariate time series data is applied in different domains, e.g. activity recognition or sensor states. This involves several steps of (pre-) processing, segmenting, and labeling of time intervals, and visually exploring the results as well as iteratively refining the parameters for all the processing steps. Within these processes different uncertainties are involved and relevant. In this poster we identify and categorize important uncertainties in this problem domain. We discuss challenges for visually communicating these uncertainties throughout the segmenting and labeling process.
Keywords:
Visualization theory, concepts and paradigms, Time series analysis
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.2312/eurp.20181126
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_270240.pdf
Related Projects:
Project Head Silvia Miksch:
Visuelle Segmentierung und Labeling multivariater Zeitserien
Created from the Publication Database of the Vienna University of Technology.