Computer Science Department Colloquium
Human-machine Sensemaking of Large Graphs
Friday, April 14, 2017, 01:00pm
At the Polo Club of Data Science, we innovate at the intersection of data mining and human-computer interaction (HCI), combining the best from both worlds to synthesize scalable interactive tools for making sense of million- and billion-edge graphs. I will present some of our latest work:
(1) Visage: an interactive visual graph querying approach that empowers users to construct expressive queries, without writing complex code (e.g., finding money laundering rings of bankers and business owners).
(2) Facets & Carina: combine machine inference and visualization to guide the user to interactively explore large graphs. The user gives examples of relevant nodes, and the systems recommend interesting and surprising areas the user may want to see next.
(3) MMap & M3: a minimalist approach that leverages virtual memory to power billion-scale computation and interaction on a single PC (and iPad!) at a speed that outperforms state-of-the-art techniques.
Speaker: Duen Horng (Polo) Chau
Duen Horng (Polo) Chau is an Assistant Professor at Georgia Tech‚Äôs School of Computational Science and Engineering, and an Associate Director of the MS Analytics program. He holds a PhD in Machine Learning and a Masters in human-computer interaction (HC
Location : CoRE A 301
Event Type: Computer Science Department Colloquium