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What is Anomaly Detection Models Overview about?

The document outlines various models for anomaly detection, including One-Class Support Vector Machine (OCSVM), k-Nearest Neighbours (k-NN), and DBSCAN, each employing different methodologies for identifying anomalies in data. It also discusses statistical methods, contextual anomaly detection, collective anomaly detection using Markov Models or LSTMs, online anomaly detection techniques, and distributed anomaly detection through federated algorithms. Each model is designed to handle anomalies based on spec

Author

Vinit

Language

EN