See the forest for the trees
By Hyunsu Kim and 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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About the Author(s)
Hyunsu Kim
Michael Leitschkis
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