How does anomaly detection work?

Can you explain how anomaly detection works?

Sure! Anomaly detection is a technique used to identify unusual patterns or outliers in data that do not conform to expected behavior.

What are some common methods used for anomaly detection?

Common methods include statistical tests, machine learning algorithms like isolation forests, and clustering techniques.

In what fields is anomaly detection commonly applied?

It's widely used in finance for fraud detection, in cybersecurity for identifying breaches, and in manufacturing for quality control.

Can you give an example of how it works in real life?

Certainly! In credit card fraud detection, anomaly detection algorithms analyze transaction patterns and flag any that deviate significantly from a user's normal behavior.