On September 30 took place the 5th Webinar "Anomaly detection in large graphs" of the AIDA Webinar Series promoted by the team of the Large Scale Collaborative project AIDA with the support of the CMU Portugal. The session counted on Christos Faloutsos (Carnegie Mellon University) as main speaker, and also joining the session as speakers Jeremy Lee (Carnegie Mellon University), Mirela Teixeira Cazzolato (Carnegie Mellon University and University of São Paulo), Saranya Vijayakumar. Pedro Fidalgo from the Project company promoter Mobileum, participated as moderator.
Summary Webinar #5: Given a large who-calls-whom graph, how can we find patterns and anomalies? In this presentation we will discuss some patterns that several real graphs seem to obey (small diameter, power-law degree distributions), and how to use them for anomaly detection in real settings, like Mobileum’s call-graph, and other social networks.
Summary Webinar #5: Given a large who-calls-whom graph, how can we find patterns and anomalies? In this presentation we will discuss some patterns that several real graphs seem to obey (small diameter, power-law degree distributions), and how to use them for anomaly detection in real settings, like Mobileum’s call-graph, and other social networks.
- Category
- Management
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