Anomaly detection research using Isolation Forest in Machine Learning

Objective. The study is devoted to assessing the applicability of the Isolation Forest method in the task of detecting anomalies in network traffic data characterized by insufficient markup. The main purpose of the work is to evaluate the effectiveness of Isolation Forest with limited data markup an...

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Bibliographic Details
Main Authors: A. S. Kechedzhiev, O. L. Tsvetkova
Format: Article
Language:Russian
Published: Dagestan State Technical University 2024-04-01
Series:Вестник Дагестанского государственного технического университета: Технические науки
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Online Access:https://vestnik.dgtu.ru/jour/article/view/1460
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