10 lines
388 B
Plaintext
10 lines
388 B
Plaintext
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Isolation Forests are one algorithm for AD
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Tries to isolate abnormal (rare) points instead of modelling normal ones
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Creative approach->fairly successful (3000 Citations)
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Many follow up papers
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Extended Isolation Forest (Hariri et. al. 2018, 140 Citations)
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Remove bias from the Isolation Forests
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Also claim to improve their anomaly detection quality
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(repeat with both cuts and ad quality)
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