Improved Anomaly Detection by Using the Attention-Based Isolation Forest

Improved Anomaly Detection by Using the Attention-Based Isolation Forest

A new modification of the isolation forest called the attention-based isolation forest (ABIForest) is proposed for solving the anomaly detection problem. It incorporates an attention mechanism in the form of Nadaraya–Watson regression into the isolation forest to improve the solution of the anomaly...

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Bibliographic Details
Main Authors: Lev Utkin, Andrey Ageev, Andrei Konstantinov, Vladimir Muliukha
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Algorithms
Subjects:
anomaly detection
attention mechanism
isolation forest
Nadaraya–Watson regression
quadratic programming
contamination model
Online Access:https://www.mdpi.com/1999-4893/16/1/19

Internet

https://www.mdpi.com/1999-4893/16/1/19

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