Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis

Research article (2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019) · cited 85× · AI/ML
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Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis

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Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainable-machine-learning-in-industry-4-0-evaluating-feature-importance-in-anomaly-detection-to-enable-root-cause-ana
MLA “Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainable-machine-learning-in-industry-4-0-evaluating-feature-importance-in-anomaly-detection-to-enable-root-cause-ana.
BibTeX @misc{4ortxyz_explainable-machine-learning-in-industry-4-0-evaluating-feature-importance-in-anomaly-detection-to-enable-root-cause-ana_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/explainable-machine-learning-in-industry-4-0-evaluating-feature-importance-in-anomaly-detection-to-enable-root-cause-ana}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis — https://4ort.xyz/entity/explainable-machine-learning-in-industry-4-0-evaluating-feature-importance-in-anomaly-detection-to-enable-root-cause-ana (retrieved 2026-05-24)

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