Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools

Research article (Data & Knowledge Engineering, 2020) · cited 80× · AI/ML
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Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools

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Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-anomaly-prediction-predicting-anomalous-behavior-in-industry-4-0-settings-via-regularized-logistic-regress
MLA “Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-anomaly-prediction-predicting-anomalous-behavior-in-industry-4-0-settings-via-regularized-logistic-regress.
BibTeX @misc{4ortxyz_interpretable-anomaly-prediction-predicting-anomalous-behavior-in-industry-4-0-settings-via-regularized-logistic-regress_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-anomaly-prediction-predicting-anomalous-behavior-in-industry-4-0-settings-via-regularized-logistic-regress}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools — https://4ort.xyz/entity/interpretable-anomaly-prediction-predicting-anomalous-behavior-in-industry-4-0-settings-via-regularized-logistic-regress (retrieved 2026-05-24)

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