TransferLab Training: Practical Anomaly Detection - Module 3: Anomaly Detection via Isolation

In this video, we will learn about a tree-based approach for anomaly detection: the isolation forest algorithm. It is based on the assumption that anomalies are rare and isolated. It has drawn a lot of attention in the last years and is considered a state-of-the-art algorithm for anomaly detection with excellent performance across a multitude of benchmarks. We use the isolation forrest for network intrusion detection in the KDD99 dataset.
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00:10 Anomaly Detection via Isolation
03:44 Isolation Trees
04:59 Isolation Depth
06:18 Isolation Forests
11:56 Exercise: A.D. for Network Security
12:34 Solution: A.D. for Network Security
The appliedAI Institute for Europe gGmbH is supported by the KI-Stiftung Heilbronn gGmbH.