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Outlier Ensemble Based on Isolation Forest: The CBOEA Approach Cover

Outlier Ensemble Based on Isolation Forest: The CBOEA Approach

Foundations of Computing and Decision Sciences
Volume 50 (2025): Issue 1 (February 2025)
By: Ali Chaabouni and  Mohamed Ayman Boujelben  
Open Access
|Mar 2025

Authors

Ali Chaabouni

alichaabouni40@gmail.com

Institut Supérieur de Gestion, Université de Tunis, 41 Avenue de la Liberté, Bouchoucha, Tunisie

Mohamed Ayman Boujelben

ayman.boujelben@ihecs.usf.tn

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
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.

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