Have a personal or library account? Click to login

Development of a Distributed Outlier Detection Method Based on the Alternating Direction Method of Multipliers

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 19 (2025): Issue 2 (June 2025)
By:
Open Access
|Jun 2025

Figures & Tables

Figure 1.

Convergence Analysis
Convergence Analysis

Figure 2.

Residuals and Tolerances
Residuals and Tolerances

Figure 3.

Countour Lines
Countour Lines

Experimental Results

ParametersExperiment 1Experiment 2Experiment 3Experiment 4Experiment 5
Instances420202030050021446464
Dimension22299
TypeSyntheticSyntheticSyntheticRealReal
Outliers20205006878
Nodes48244
AUC-ROC OCSVM0.950.920.950.760.83
AUC-ROC SGD-OC0.940.900.960.760.83
AUC-ROC ADMM-OC0.950.910.950.760.81
DOI: https://doi.org/10.14313/jamris-2025-009 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Journal RSS Feed
Language: English
Page range: 1 - 7
Submitted on: Feb 29, 2024
Accepted on: Mar 27, 2025
Published on: Jun 26, 2025
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
outlier detection,
big data,
method of multipliers
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2025 Alejandro Cespón Ferriol, Héctor R González Diez, Carlos A. Morell Pérez, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2025): Issue 2 (June 2025)Next article