Anomaly Detection Techniques: Defining Normal
3/14/2019The challenge is identifying suspicious events in training sets where no anomalies are encountered. Part two of a two-part series.
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Rosaria Silipo, Ph.D., principal data scientist at KNIME, is the author of 50+ technical publications, including her most recent book "Practicing Data Science: A Collection of Case Studies". She holds a doctorate degree in bio-engineering and has spent more than 25 years working on data science projects for companies in a broad range of fields, including IoT, customer intelligence, the financial industry, and cybersecurity. and. For more information on KNIME, please visit www.knime.com or the KNIME blog.