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Interactive Visual Tools for Mining Large Graphs

Polo Chau
Assistant Professor, School of Computational Science & Engineering, Georgia Institute of Technology


Newell-Simon Hall 1305 (Michael Mauldin Auditorium)

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At the Polo Club of Data Science, we innovate at the intersection of HCI and Data Mining, combining the best from both worlds to synthesize scalable interactive tools for making sense of billion-scale graph data.

I will present some of our latest works, including: (1) GLO-STIX, a fundamentally new way for users to summon custom network visualizations on demand, through Graph-Level Operations (GLO); (2) FACETS and VISAGE, which combine machine learning and visualization to guide users to interactively explore large network data; and (3) MMap, 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. I will also highlight our works in cybersecurity that leverage these ideas.

Speaker's Bio

Duen Horng (Polo) Chau is an Assistant Professor at Georgia Tech’s School of Computational Science and Engineering, and an Associate Director of the MS Analytics program. Polo holds a PhD in Machine Learning and a Masters in human-computer interaction (HCI). His PhD thesis won Carnegie Mellon’s Computer Science Dissertation Award, Honorable Mention. Polo received faculty awards from Google, Yahoo, and LexisNexis, Raytheon Faculty Fellowship, Edenfield Faculty Fellowship, Outstanding Junior Faculty Award. He is the only two-time Symantec fellow and an award-winning designer. 

Polo’s research group created novel detection technologies for malware (patented with Symantec, protects 120M+ people), auction fraud (WSJ, CNN, MSN), comment spam (patented & deployed with Yahoo), fake reviews (SDM’14 Best Student Paper), insider trading, and unauthorized mobile device access (Wired, Engadget). 

Speaker's Website

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