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Thursday, September 20 • 11:45am - 12:25pm
Predictive Analysis from Massive Knowledge Graphs on Neo4j

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Prof. David Bader, one of the nation’s leading experts in massive-scale graph analytics, presents a Neo4j 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.


Speakers
avatar for David Bader

David Bader

Chair, School of Computational Science and Engineering, Georgia Institute of Technology
David A. Bader is Professor and Chair of the School of Computational Science and Engineering at Georgia Institute of Technology, and is regarded as one of the world’s leading experts in data sciences. His interests are at the intersection of high performance computing (HPC) and... Read More →


Thursday September 20, 2018 11:45am - 12:25pm EDT
4. Lyceum
  Session, AI and Machine Learning