October 2016

Lab at VIS2016

Lab student members and alumni reunion at IEEE VIS 2016 in Baltimore.
(click heading to see the photo)

InfoVis Taxomony:

Usable Big Data Analytics through Multi-Model Interactive Visualization

Gaining big insight from big data requires big analytics, which poses big usability problems. Analyses of big data often rely on several computational and statistical models that operate on multiple levels of data scale to discover and characterize latent data structure. The models work jointly or in sequence to filter, group, summarize, and visualize big data so that analysts may assess the data.

InfoVis Taxomony:

Be the Data: A New Approach for Immersive Analytics

Chen X, Self JZ, House L, North C. Be the Data: A New Approach for Immersive Analytics. In: IEEE Virtual Reality 2016 Workshop on Immersive Analytics. IEEE Virtual Reality 2016 Workshop on Immersive Analytics. ; 2016. p. 6.

Be the Data: Social Meetings with Visual Analytics

Chen X, Self JZ, Sun M, House L, North C. Be the Data: Social Meetings with Visual Analytics. In: International Workshop on Visualization and Collaboration (VisualCol 2016). International Workshop on Visualization and Collaboration (VisualCol 2016). ; 2016. p. 8.