Detecting outliers from high-dimensional data is a challenge task since outliers mainly reside in various lowdimensional subspaces of the data. To tackle this challenge, subspace analysis based outlier detection approach has been proposed recently. Detecting outlying subspaces in which a given data point is an outlier facilitates a better characterization process for detecting outliers for high...

Focus+context visualization is well-known from information visualization: certain data subsets of special interest are shown in more detail (locally enlarged) whereas the rest of the data is provided as context (in reduced space) to support user orientation and navigation. The key point of this work is a generalized definition of focus+context visualization which extends its applicability also ...

Data visualization is usually considered an expert field reserved for the computer science or data analysis specialist. In contrast, in this paper we argue that the approaches and theories from data visualization can form a rich contextual resource for teaching creative design principles to students. A conceptual data mapping model is proposed that describes a continuum between ‘traditional’ da...

Data visualization gives a direct view of complex data, which is especially helpful for analysis of large high dimensional datasets. However, existing methods often lose simplicity and clarity while rendering large amount of complex data. In this paper, we discuss some essential properties that a data visualization system should have. Also we present an interactive data visualization model whic...

Storytelling animation has a great potential to be widely adopted by domain scientists for exploring trends in scientific simulations. However, due to the dynamic nature and generation methods of animations, serious concerns have been raised regarding their effectiveness for analytical tasks. This has led to interactive techniques often being favored over animations, as they provide the user wi...

Visualization has recently begun to extend its role into a communication medium for presentation and storytelling. With the advancement in web-based visualization technology (e.g., D3), we increasingly encounter an integration of interactive visualizations into data stories in news media, blog posts, etc. However, these stories usually do not provide enough guidance on how to interpret and mani...

We have developed an interactive visualization software for an immersive 3D virtual environment system, which generates stereoscopic images from huge human volume datasets in real-time using an improved volume visualization technique. Our software utilizes a CAVE system to reconstruct such huge volume datasets as the Visible Human and the Visible Korean Human, produced by NLM and KISTI, respect...

How can visualizations of massive amounts of information be made more useful for data journalists? The availability of large amounts of publicly available user generated content is opening new opportunities to study social, cultural, and communications phenomenon. Computer assisted analysis now makes it possible to explore the relationship between nodes and text without having to choose between...

The visualization of large volumes of abstract information requires mechanisms to support the user by knowledge discovering. Therefore we developed the level of data concept. Therein the abstract nature of the data and the diverse user community has been taken into account. By using the iceberg metaphor, we classified the information space into several layers. The different backgrounds and anal...

By design, interactive tabletops and surfaces provide numerous opportunities for data visualization and analysis. In information visualization, scientific visualization, and visual analytics, useful insights primarily emerge from interactive data exploration. Nevertheless, interaction research in these domains has largely focused on mouse-based interactions in the past, with little research on ...