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MultiLayerMatrix: Visualizing Large Taxonomic Datasets
(The Eurographics Association, 2016)
Adjacency matrices can be a useful way to visualize dense networks. However, they do not scale well as the network size increases due to limited screen space, especially when the number of rows and columns exceeds the pixel ...
Visual Analytics in Process Mining: Classification of Process Mining Techniques
(The Eurographics Association, 2016)
The increasing interest from industry and academia has driven the development of process mining techniques over the last years. Since the process mining entails a strong explorative perspective, the combination of process ...
Integrating Predictions in Time Series Model Selection
(The Eurographics Association, 2015)
Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria ...
Visual Analytics of Event Data using Multiple Mining Methods
(The Eurographics Association, 2019)
Most researchers use a single method of mining to analyze event data. This paper uses case studies from two very different domains (electronic health records and cybersecurity) to investigate how researchers can gain ...
Feature-Based Visual Analytics for Studying Simulations of Dynamic Bi-Stable Spatial Systems
(The Eurographics Association, 2013)
Simulations of dynamic bi-stable spatial systems usually generate large and complex data that are hard to evaluate. In this paper, we describe how visual analytics technology can help in analyzing such simulation data. The ...
Steerable Clustering for Visual Analysis of Ecosystems
(The Eurographics Association, 2011)
One of the great challenges in the geosciences is understanding ecological systems in order to predict changes and responses in space and time at scales from local to global. Ecologists are starting to recognize the value ...
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation
(The Eurographics Association, 2015)
Visualization of spatial data uncertainties is crucial to the data understanding and exploration process. Scientific measurements, numerical simulations, and user generated content are error prone sources that gravely ...
A System for Query Based Analysis and Visualization
(The Eurographics Association, 2012)
Today scientists are producing large volumes of data that they wish to explore and visualize. In this paper we describe a system that combines range-based queries with fast lookup to allow a scientist to quickly and ...
Scalable Cluster Analysis of Spatial Events
(The Eurographics Association, 2012)
Clustering of massive data is an important analysis tool but also challenging since the data often does not fit in RAM. Many clustering algorithms are thus severely memory-bound. This paper proposes a deterministic density ...
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
(The Eurographics Association, 2014)
The study and analysis of relationships in a complex and multi-scale data set is a challenge of information and scientific visualization. This work proposes an integrated visualization to capture all the important aspects ...