Interactive visual data mining on large networks; scale changes everything

Thursday, March 1, 2012 - 11:30am - 12:00pm
Keller 3-180
Igor Jurisica (University of Toronto)
Network visualization tools offer features enabling a variety of analyses to satisfy diverse requirements. Considering complexity and diversity of data and tasks, there is no single best layout, no single best file format or visualization tool: one size does not fit all. A useful tool needs to support interactive visual data exploration, integration of diverse data, rich annotation, query and analysis algorithms, scalability in memory and speed to large networks, user interface that accommodates multiple user types and workflows. Such integrative network analysis will support not only visualization but also visual data mining.