Dr. James McCaffrey of Microsoft Research tackles 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. Data anomaly ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...

CAMPBELL, Calif., April 29, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leading provider of data observability and agentic data management solutions, today announced Adaptive AI Anomaly Detection, a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

If you run a quick web search on "machine learning use cases," you will find pages and pages of links to documents describing machine learning (ML) algorithms to detect or predict some kind of event ...

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 ...

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 ...