Outlier Ensemble Based on Isolation Forest: The CBOEA Approach

Institut des HautesÉtudes Commerciales, Université de Sfax, Route Sidi Mansour Km 10 B.P 43-3061, Sfax, Tunisie, Laboratoire OLID (LR19ES21), Institut Supérieur de Gestion Indus-trielle, Université de Sfax, Tunisie

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DOI: https://doi.org/10.2478/fcds-2025-0002 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356

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Language: English

Page range: 27 - 55

Submitted on: Feb 18, 2023

Accepted on: Sep 27, 2024

Published on: Mar 8, 2025

Published by: Poznan University of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Anomaly detection,

Local outliers,

Isolation Forest,

Local Outlier Factor,

OPTICS

Related subjects:

Computer sciences,

Artificial intelligence,

Software development

© 2025 Ali Chaabouni, Mohamed Ayman Boujelben, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 50 (2025): Issue 1 (February 2025)