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Now showing items 11-20 of 21
Visual Analytics of Work Behavior Data - Insights on Individual Differences
(The Eurographics Association, 2015)
Stress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual ...
LFPeers: Temporal Similarity Search in Covid-19 Data
(The Eurographics Association, 2021)
While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, ...
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, ...
Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies
(The Eurographics Association, 2015)
Political decision making involves the evaluation of alternative solutions (so called policy models) to a given societal problem and the selection of the most promising one. Large amounts of textual information to be ...
Visual Access to Performance Indicators in the Mining Sector
(The Eurographics Association, 2017)
We introduce a visualization system that provides visual interactive access to information relevant for decision making in the mining sector. The mining sector is one of the most important industries in developing countries, ...
Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis
(The Eurographics Association, 2014)
Color is one of the most effective visual variables since it can be combined with other mappings and encodeinformation without using any additional space on the display. An important example where expressing additionalvisual ...
Visual-Interactive Segmentation of Multivariate Time Series
(The Eurographics Association, 2016)
Choosing appropriate time series segmentation algorithms and relevant parameter values is a challenging problem. In order to choose meaningful candidates it is important that different segmentation results are comparable. ...
Visual Analysis of Relations in Attributed Time-Series Data
(The Eurographics Association, 2015)
In this paper, we present visual-interactive techniques for revealing relations between two co-existing multivariate feature spaces. Such data is generated, for example, by sensor networks characterized by a set of ...
Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data
(The Eurographics Association, 2016)
The analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns ...
Towards Combining Attribute-based and Time Series-based Visual Querying
(The Eurographics Association, 2016)
We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, ...