Novel Evaluation Techniques for Outlier Detection Methods: A Case Study With RCOD

Outlier detection remains a key challenge in data analysis, with applications spanning cybersecurity, finance, medicine, and more. This paper introduces a comprehensive evaluation framework for comparing outlier detection methods, using the Random Clustering-based Outlier Detector (RCOD) as a case s...

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Bibliographic Details
Main Authors: Adam Kiersztyn, Krystyna Kiersztyn, Michal Horodelski, Dorota Pylak
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11106501/
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