Implementing Isolation Forest for Anomaly Detection - Analytics …
https://www.analyticsvidhya.com/blog/2021/07/anomaly-detection-using-isolation-forest-a-complete-guide/
WEBJan 10, 2024 · Isolation Forest is a technique for identifying outliers in data that was first introduced by Fei Tony Liu and Zhi-Hua Zhou in 2008. The approach employs binary trees to detect anomalies, resulting in a linear time complexity and low memory usage that is well-suited for processing large datasets.
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