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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Bibliografiska uppgifter

Huvudupphov:	Gałka, Łukasz
Materialtyp:	Online
Språk:	engelska
Utgiven:	Lublin University of Technology Publishing House 2026
Ämnen:	anomaly detection Isolation Forest minimal spanning tree dimensionality reduction clustering Takagi–Sugeno fuzzy inference informatics thema EDItEUR::U Computing and Information Technology
Länkar:	https://directory.doabooks.org/handle/20.500.12854/171081
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