Approaches to Anomaly Detection
Below is a breakdown of widely used anomaly detection
methods, including their data requirements, complexity,
Visual Inspection
and ideal applications.
Visual inspection remains one of the simplest and
quickest approaches, often used for exploratory
analysis. While it offers limited capacity for complex
problem solving, it’s useful for identifying obvious
anomalies in raw counts or basic time series data.
Type:
Unsupervised / Supervised
Complexity:
Low
typical use cases:
Basic dashboard reviews, investigating reported
issues, informal campaign tracking, spot checks
during routine analysis
Capturing Value with Anomaly Detection
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