See the forest for the trees

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By Hyunsu Kim, Michael Leitschkis | 13 December 2019
Most of the existing machine learning algorithms that can be used for outlier detection hinge on profiling models based on normal instances. This paper considers a technique called the Isolation Forest, which overcomes the shortcomings of classic anomaly detection algorithms.


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