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A Taxonomy of Attribute Scoring Functions
(The Eurographics Association, 2021)
Shifting the analysis from items to the granularity of attributes is a promising approach to address complex decision-making problems. In this work, we study attribute scoring functions (ASFs), which transform values from ...
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-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. ...
A Unified Process for Visual-Interactive Labeling
(The Eurographics Association, 2017)
Assigning labels to data instances is a prerequisite for many machine learning tasks. Similarly, labeling is applied in visualinteractive analysis approaches. However, the strategies for creating labels often differ in the ...
Personalized Visual-Interactive Music Classification
(The Eurographics Association, 2018)
We present an interactive visual music classification tool that will allow users to automatically structure music collections in a personalized way. With our approach, users play an active role in an iterative process of ...
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 ...
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 ...
Smart Query Definition for Content-Based Search in Large Sets of Graphs
(The Eurographics Association, 2010)
Graphs are used in various application areas such as chemical, social or shareholder network analysis. Finding relevant graphs in large graph databases is thereby an important problem. Such search starts with the definition ...
Combining Cluster and Outlier Analysis with Visual Analytics
(The Eurographics Association, 2017)
Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In ...