Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...

Anju Kambadur, Bloomberg’s Head of AI Engineering, helped organize today’s 2nd KDD Workshop on Anomaly Detection in Finance, which is taking place during the 25th ACM SIGKDD Conference on Knowledge ...

Data from New Zealand’s National Climate Network are operationally verified both during data ingest and post data ingestion into the National Climate Database. The quality control process in the ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

A simulator was developed by the University of São Paulo based on a fictitious facility referred to as the ‘Asherah’ nuclear power plant. (Photo: IAEA) Identifying anomalies in the operations of ...