AI Terms
Definition: Anomaly detection is the process of identifying data points that deviate significantly from normal patterns or expected behavior.
Detailed Description:
Anomaly detection is a critical task in various fields, including fraud detection, network security, and quality control. It involves identifying outliers or anomalies that could indicate unusual events, errors, or fraudulent activities.
There are several techniques used for anomaly detection, including:
Anomaly detection is used in various applications, such as:
Related Terms:
FAQs:
What is the difference between anomaly detection and outlier detection?
How is anomaly detection used in fraud detection?
What are some challenges in anomaly detection?
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