Question

How outlier anlysis in useful in brand detection in data warehouse?

Answer 1

Answer:

Anomaly detection (aka outlier analysis) is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset's normal behavior. ... Machine learning is progressively being used to automate anomaly detection. This graph shows an anomalous drop detected in time series data.