Minimal Spanning Tree Algorithm Applied to the Implementation of an Efficient Isolation Forest for Anomaly Detection

This study introduces innovative anomaly detection algorithms based on the Isolation Forest (IF) method. It begins by presenting an overview of the anomaly detection issue, encompassing a review of general methods used in this field. Subsequently, the IF method is discussed in detail, along with key...

Полное описание

Библиографические подробности

Главный автор:	Gałka, Łukasz
Формат:	Online
Язык:	английский
Опубликовано:	Lublin University of Technology Publishing House 2026
Предметы:	anomaly detection Isolation Forest minimal spanning tree dimensionality reduction clustering Takagi–Sugeno fuzzy inference informatics thema EDItEUR::U Computing and Information Technology
Online-ссылка:	https://directory.doabooks.org/handle/20.500.12854/171081
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