Uncovering causal graphs in air traffic control communication logs for explainable root cause analysis

Uncovering causal graphs in air traffic control communication logs for explainable root cause analysis

This paper presents a novel approach for identifying system topology and detecting causal relationships between servers in Air Traffic Control systems (ATC) by utilizing unstructured, raw communication logs. We have developed a hybrid approach that combines process mining techniques, in particular t...

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Bibliographic Details
Main Authors: Agneza Krajna, Ana Šarčević, Mario Brčić, Kristijan Poje
Format: Article
Language:English
Published: Taylor & Francis Group 2025-07-01
Series:Automatika
Subjects:
Root cause analysis
causal graph
process mining
causal discovery
causal inference
explainability
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2025.2518794
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https://www.tandfonline.com/doi/10.1080/00051144.2025.2518794

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