Anomaly Detection: Revision history

From Encyclopedia of Cybersecurity

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5 May 2024

  • curprev 13:2613:26, 5 May 2024‎ Ccocrick talk contribs‎ 3,964 bytes +3,964‎ Created page with "== Anomaly Detection == '''Anomaly Detection''' is a technique used in data analysis and machine learning to identify patterns, behaviors, or events that deviate from the norm or expected behavior within a dataset. === Overview === Anomaly Detection involves: # '''Data Collection''': Collecting and aggregating data from various sources, such as sensors, logs, or transaction records, to create a dataset for analysis. # '''Pattern Identification''': Analyzing the datas..."
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