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...

詳細記述

書誌詳細

出版年:	Algorithms
主要な著者:	Lev Utkin, Andrey Ageev, Andrei Konstantinov, Vladimir Muliukha
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-12-01
主題:	anomaly detection attention mechanism isolation forest Nadaraya–Watson regression quadratic programming contamination model
オンライン･アクセス:	https://www.mdpi.com/1999-4893/16/1/19