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...

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Autor principal:	Gałka, Łukasz
Format:	Online
Idioma:	anglès
Publicat:	Lublin University of Technology Publishing House 2026
Matèries:	anomaly detection Isolation Forest minimal spanning tree dimensionality reduction clustering Takagi–Sugeno fuzzy inference informatics thema EDItEUR::U Computing and Information Technology
Accés en línia:	https://directory.doabooks.org/handle/20.500.12854/171081
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