Anomaly detection involves recognizing unusual occurrences in a dataset that deviate from the norm. For instance, when machinery malfunctions, the vibrations, and frequencies it produces exhibit distinct patterns, signaling a deviation from typical behavior. This process entails identifying infrequent observations that stand out from the overall ('normal') data distribution, serving as a crucial tool for anomaly identification in various domains.
(Source: Cloudera)