Invited Talk: Predictive Analysis of Massive Streaming Graphs


Prof. David Bader, one of the nation’s leading experts in massive-scale graph analytics, presents a case study on predictive analytics on a homeland security knowledge graph that connects disparate data from multiple sources such as spreadsheets and relational databases. Graphs are a natural representation for connecting information in real-world challenges such as understanding financial transactions in digital currencies, finding new communities in social networks, increasing power grid resiliency, and protecting us from cyberattack. Bader will discuss his Spatio-Temporal Interaction Networks and Graphs (STING) initiative that supports new methods for finding interesting patterns and features in these critical knowledge graphs.

Jun 4, 2018 3:00 PM — 4:00 PM
Office of University Programs, Science & Technology (S&T), Department of Homeland Security (DHS)
David A. Bader
David A. Bader
Distinguished Professor and Director of the Institute for Data Science

David A. Bader is a Distinguished Professor in the Department of Computer Science at New Jersey Institute of Technology.