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A Window-based Approach for Mining Long Duration Event-sequences
(The Eurographics Association, 2020)
This paper presents an interactive sequence mining approach for exploring long duration event-sequences and identifying interesting patterns within them. The approach extends previous work on exploratory sequence mining ...
Interactive Visualization of AI-based Speech Recognition Texts
(The Eurographics Association, 2020)
Speech recognition technology has achieved impressive success recently with AI techniques of deep learning networks. Speechto- text tools are becoming prevalent in many social applications such as field surveys. However, ...
Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data
(The Eurographics Association, 2020)
Studies of genome sequenced data are increasingly common in many domains. Technological advances enable detection of hundreds of thousands of biological entities in samples, resulting in extremely high dimensional data. ...
Progressive Parameter Space Visualization for Task-Driven SAX Configuration
(The Eurographics Association, 2020)
As time series datasets are growing in size, data reduction approaches like PAA and SAX are used to keep them storable and analyzable. Yet, finding the right trade-off between data reduction and remaining utility of the ...
A Generic Model for Projection Alignment Applied to Neural Network Visualization
(The Eurographics Association, 2020)
Dimensionality reduction techniques are popular tools for the visualization of neural network models due to their ability to display hidden layer activations and aiding the understanding of how abstract representations are ...
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations
(The Eurographics Association, 2020)
Compact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. ...
Congnostics: Visual Features for Doubly Time Series Plots
(The Eurographics Association, 2020)
In this paper, we propose an analytical approach to automatically extract visual features from doubly time series capturing the unusual associations which are not otherwise possible by investigating individual time series ...
An Exploratory Visual Analytics Tool for Multivariate Dynamic Networks
(The Eurographics Association, 2020)
Visualizing multivariate dynamic networks is a challenging task. The evolution of the dynamic network within the temporal axis must be depicted in conjunction with the associated multivariate attributes. In this paper, an ...
EuroVa 2020: Frontmatter
(The Eurographics Association, 2020)
Dual Radial Set
(The Eurographics Association, 2020)
Set-typed data visualizations require novel interactive representations, especially when visualizing multiple set-typed data attributes. The challenge is how to effectively analyze relations between data elements from ...