Although predicated on advanced math concepts, anomaly detection, or as the NIST Cybersecurity Framework 2.0 calls it, “adverse event analysis,” has over the past two decades been incorporated ...

Data Anomaly Detection Using LightGBM. Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data ...

Observability platform company Coralogix Ltd. today announced a new strategic collaboration agreement with Amazon Web ...

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...

What does anomaly detection actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Was Sunday an anomaly for the Philadelphia Eagles or a regression to an expected mean? It will be interesting to see how a 42-19 beatdown at the hands of the San Francisco 49ers will be treated by ...

Anomaly detection can be used to determine when something is noticeably different from the regular pattern. BYU professor Christophe Giraud-Carrier, director of the BYU Data Mining Lab, gave the ...

The question now is whether Missouri’s frigid evening on the road was an anomaly or a regression. Will there be a repeat or a response against No. 16 Ole Miss on Saturday at Mizzou Arena?

Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.