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, ...
Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...
GlobalData on MSN
IRIS Software Group unveils AI-driven tax anomaly detection tool
The tax anomaly detection feature is now available at no extra cost in IRIS Elements and IRIS Accountancy Suite for UK accountants.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback