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Network Analysis for Financial Fraud Detection
(The Eurographics Association, 2018)
Security and quality are main concerns for private and public financial institutions. Data mining techniques based on the profiles of customers of a financial institution are commonly used to avoid fraud and financial ...
Elastic Tree Layouts for Interactive Exploration of Mentorship
(The Eurographics Association, 2021)
Mentorship is an important collaborative relationship among scholars. The existing tools to visualize it mainly suffer from a waste of space, lack of overview representation, and less displayed attribute information. To ...
Volume Rendering Using Principal Component Analysis
(The Eurographics Association, 2016)
We investigate the use of Principal Component Analysis (PCA) for image-based volume rendering. We compute an eigenspace using training images, pre-rendered using a standard raycaster, from a spherically distributed range ...
Interactive Hierarchical Quote Extraction for Content Insights
(The Eurographics Association, 2019)
This work presents a new approach to visually summarize large micro-document collections such as tweets. We extract frequent patterns of phrases as shortened quotes to present analysts an overview of popular snippets and ...
Improving the Scalability of Interactive Visualization Systems for Exploring Threaded Conversations
(The Eurographics Association, 2019)
Large threaded conversations, such as those found on YCombinator's HackerNews, are typically presented in a way that shows individual comments clearly, but can obscure larger trends or patterns within the conversational ...
Comparative Analysis with Heightmaps in Virtual Reality Environments
(The Eurographics Association, 2019)
3D heightmaps can be considered as an extension of heatmaps using the third dimension to encode the respective value by height, often in addition to encoding it by color. In contrast to 2D heatmaps, 3D heightmaps allow a ...
Projection Navigation In Extremely Large Datasets (PNIELD)
(The Eurographics Association, 2017)
We propose a framework for the exploration of large highdimensional datasets via multidimensional projections.
Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data
(The Eurographics Association, 2016)
Rigid adherence to pre-specified thresholds and static graphical representations can lead to incorrect decisions on merging of clusters. As an alternative to existing automated or semi-automated methods, we developed a ...
EuroVis 2018 Posters: Frontmatter
(The Eurographics Association, 2018)
Interactive Visualization of Massive Location Data using Multi-Scale Trajectories
(The Eurographics Association, 2017)
Today location information on aircraft and vessels is collected worldwide and readily available to analysts. When analyzing such data for a large area or a long period of time, the sheer size of the dataset becomes a ...