Big Text Visual Analytics in Sensemaking

Bradel L, Wycoff N, House L, North C. Big Text Visual Analytics in Sensemaking. In: IEEE International Symposium on Big Data Visual Analytics. IEEE International Symposium on Big Data Visual Analytics. ; 2015. p. 8 pages.

Four considerations for supporting visual analysis in display ecologies

Chung H, North C, Joshi S, Chen J. Four considerations for supporting visual analysis in display ecologies. In: Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Chicago, IL, USA; 2015. p. 33-40.

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.

IEEE VIS 2015

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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