What are some common techniques for anomaly detection?

What are some common techniques for anomaly detection?

Common techniques include statistical methods, machine learning algorithms, and clustering methods.

Can you explain how machine learning is used in anomaly detection?

Machine learning models, like isolation forests and autoencoders, learn patterns from data to identify outliers.

What are the advantages of using clustering methods?

Clustering methods can effectively group similar data points, making it easier to spot anomalies within those groups.

Are there specific industries that benefit most from anomaly detection?

Yes, industries like finance, healthcare, and cybersecurity heavily rely on anomaly detection to identify fraud or breaches.