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Graph analysis is a powerful tool for modeling malicious group behavior and detecting anomalies in domains ranging from traffic analysis to fraud detection. This talk will cover techniques and open-source tools for graph analytics, including an end-to-end analysis of a novel application of graph analytics to malware detection: from real data collection to the visualization of results.

Learning Objectives:
1: Receive an introduction to graph analytics.
2: Understand the complete work-flow of a realistic application of graph analytics.
3: Understand limitations and pitfalls of applying graph analytics to a real problem.