Keynote Speakers
- Mikhail Bilenko, Microsoft Research
- Eric Xing, Carnegie Mellow University
- Ping Li, Rutgers University
- Duen Horng(Polo) Chau, Georgia Insitute of Technology
Details
KeynoteTalk 3: Data Mining meets HCI: Scalable, Interactive Tools for Large Graph Analytics
Speaker: Polo Chau, Georgia Instritute of Technology.
Abstract
Massive datasets now arise in virtually all domains. Yet, making sense of these data remains a fundamental challenge. At the Polo Club of Data Science, we are innovating at the intersection of Data Mining and Human-Computer Interaction (HCI), to combine the best from both worlds to create novel tools for making sense of graphs with billions of nodes and edges. I will describe some of our latest works and ideas:
(1) Attention Routing, a new idea, based on anomaly detection and machine inference, that automatically draws people's attention to interesting parts of the graph, such as the Polonium technology unearths malware from 37 billion machine-file relationships; the NetProbe system fingers bad guys who commit auction fraud.
(2) Mixed-Initiative Graph Sensemaking, such as the Apolo system that combines machine inference and visualization to guide the user to interactively explore large graphs. The user gives examples of relevant nodes, and Apolo recommends which areas the user may want to see next.
Speaker Information
#bio: http://www.cc.gatech.edu/~dchau/bio.html
#mugshot: http://www.cc.gatech.edu/~dchau/assets_new/polo_gray.jpg
KeynoteTalk 3: Data Mining meets HCI: Scalable, Interactive Tools for Large Graph Analytics
Speaker: Polo Chau, Georgia Instritute of Technology.
Abstract
Massive datasets now arise in virtually all domains. Yet, making sense of these data remains a fundamental challenge. At the Polo Club of Data Science, we are innovating at the intersection of Data Mining and Human-Computer Interaction (HCI), to combine the best from both worlds to create novel tools for making sense of graphs with billions of nodes and edges. I will describe some of our latest works and ideas:
(1) Attention Routing, a new idea, based on anomaly detection and machine inference, that automatically draws people's attention to interesting parts of the graph, such as the Polonium technology unearths malware from 37 billion machine-file relationships; the NetProbe system fingers bad guys who commit auction fraud.
(2) Mixed-Initiative Graph Sensemaking, such as the Apolo system that combines machine inference and visualization to guide the user to interactively explore large graphs. The user gives examples of relevant nodes, and Apolo recommends which areas the user may want to see next.
Speaker Information
#bio: http://www.cc.gatech.edu/~dchau/bio.html
#mugshot: http://www.cc.gatech.edu/~dchau/assets_new/polo_gray.jpg