Search
Now showing items 1-7 of 7
Visually Exploring Data Provenance and Quality of Open Data
(The Eurographics Association, 2018)
While open data platforms are increasingly popular among end-users as well as data providers, there is a growing problem with inconsistent update frequencies and lack of quality in datasets. Efforts to monitor data quality ...
Guidance or No Guidance? A Decision Tree Can Help
(The Eurographics Association, 2018)
Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ...
Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques
(The Eurographics Association, 2020)
Time series segmentation is employed in various domains and continues to be a relevant topic of research. A segmentation pipeline is composed of different steps involving several parameterizable algorithms. Existing Visual ...
A Review of Guidance Approaches in Visual Data Analysis: A Multifocal Perspective
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Visual data analysis can be envisioned as a collaboration of the user and the computational system with the aim of completing a given task. Pursuing an effective system-user integration, in which the system actively helps ...
Multi-Ensemble Visual Analytics via Fuzzy Sets
(The Eurographics Association, 2023)
Analysis of ensemble datasets, i.e., collections of complex elements such as geochemical maps, is widespread in science and industry. The elements' complexity arises from the data they capture, which are often multivariate ...
Quantifying Uncertainty in Multivariate Time Series Pre-Processing
(The Eurographics Association, 2019)
In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, ...
Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series
(The Eurographics Association, 2018)
For the automatic segmentation of multivariate time series domain experts at first need to consider a huge space of alternative configurations of algorithms and parameters. We assume that only a small subset of these ...