Thanks for a great Analytics and Data Summit 2019 event. We hope to see you next year Feb 25-27, 2020! To download the presentations you must first sign up with Sched for free (easy and fast!)
Sessions appear in the color of their primary track and can be filtered using Products on the right
Use the Search bar for more flexibility
See this link for hints on how to search the schedule
Finding unexpected patterns and results in data is a critical factor in discovering fraud, adverse reactions, and other suspicious behaviors. Graph analysis is an effective data analysis methodology that considers fine-grained relationships among data entities. This session explains how to use graph analysis algorithms to discover anomalous results to identify malicious network packets in network traces. We achieve this by constructing graphs from network traces and computing characteristics of those graphs by applying several graph algorithms with which we can construct a machine learning model for classification.
I am interested in topics concerning distributed machine learning, recommender systems, online privacy, and big data related problems. My research work has led to publications in many premier conferences in the above-mentioned fields.
With more than 20 years of experience in the software industry, Kevin Madden brings an innovative approach to Tom Sawyer Software. Originally the third software engineer at Tom Sawyer Software, today he plays a strategic role in the direction of the company's server-based products... Read More →
Thursday March 14, 2019 12:00pm - 12:30pm PDT
2-Rm 103
