If I were to ask if your database load profile is good, bad, or ugly, how would you reply? If you are unsure about how to answer that, you are not alone. There are a lot of factors that come into play ...

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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

I am the VP of Engineering at Apriorit, a software development company that provides engineering services globally to tech companies. Social media is an indispensable tool for businesses to engage ...

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 ...

Professor Gao Zhi's research team from the School of Remote Sensing and Information Engineering at Wuhan University in Hubei province recently won first place at the visual anomaly and novelty ...