GPU Based Methods for Interactive Information Visualization of Big Data

Interactive visual analysis has been a key component of gaining insights in information visualization area. However, the amount of data has increased exponentially in the past few years. Existing information visualization techniques lack scalability to deal with big data, such as graphs with millions of nodes, or millions of multidimensional data records.

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CHITA Project

Along with members of the BaVA Group and statistics students, we are working with General Dynamics to create a new data analytics system.

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Bandlimited OLAP cubes for interactive big data visualization

Reach C, North C. Bandlimited OLAP cubes for interactive big data visualization. In: Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Chicago, IL, USA; 2015. p. 107-114.


Lab activities at IEEE VIS 2015 in Chicago include paper presentations by Maoyuan Sun and Haeyong Chung at VAST 2015 and Caleb Reach at LDAV 2015. Xin Chen and Jessica Self conducted a MeetUp on Embodiment in Visual Analytics.

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Visual Analytics with Biclusters

Identifying coordinated relationships is an important task in data analytics. For example, an intelligence analyst might want to find three suspicious people who visited the same four cities. However, existing techniques that display individual relationships, such as between lists of entities, require repetitious manual selection and significant mental aggregation in cluttered visualizations to find coordinated relationships.

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Spectrum: A Visual Analytics Tool to Explore Logs for VAST Challenge 2015

We present a visual analytics tool, called Spectrum, to analyze the movement and communication log data from VAST Challenge 2015. Spectrum has two views: MoveView and SpectrumView. MoveView gives an overview of the movement logs at a certain timestamp by synthesizing time, location and identity information. It replays movement logs over time and demonstrates communication logs with dynamic links. SpectrumView shows the status of all visitors' activities within a period of time. Each stay of visitors in a location is visualized as a line segment.


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Be the Data: Embodied Visual Analytics

"Be the Data" is a physical and immersive approach to visual analytics designed for teaching abstract statistical analysis concepts to students. In particular, it addresses the problem of exploring alternative projections of high-dimensional data points using interactive dimension reduction techniques. In our system, each student literally embodies a data point in a dataset that is visualized in the room of students; coordinates in the room are coordinates in a two-dimensional plane to which the high-dimensional data are projected.

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Andromeda: Semantic Interaction for Dimension Reduction

Andromeda enables users to directly manipulate the data points in 2D plots of high-dimensional data to explore alternative dimension reduction projections. Andromeda implements interactive weighted multidimensional scaling (WMDS) with semantic interaction. Andromeda allows for both parametric and observation-level interaction to provide in-depth data exploration. A machine learning approach enables WMDS to learn from user manipulated projections.

See the Andromeda demo video here:

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