Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Cynthia Freeman

Cynthia Freeman
Research Engineer, Verint Intelligent Self-Service

Website

Cynthia Freeman is a research engineer at Verint Intelligent Self-Service, a developer of conversational AI systems. She holds an MS in applied mathematics from the University of Washington and a BS in mathematics from Gonzaga University and is currently pursuing her PhD in computer science at the University of New Mexico, where she works on time series analysis and developing new anomaly detection methods.

Sessions

1:50pm2:30pm Thursday, March 28, 2019
Jonathan Merriman (Verint Intelligent Self Service), Cynthia Freeman (Verint Intelligent Self-Service)
Average rating: ***..
(3.89, 9 ratings)
Anomaly detection has many applications, such as tracking business KPIs or fraud spotting in credit card transactions. Unfortunately, there's no one best way to detect anomalies across a variety of domains. Jonathan Merriman and Cynthia Freeman introduce a framework to determine the best anomaly detection method for the application based on time series characteristics. Read more.