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

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Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos. Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools. Data \& Knowledge Engineering, 130:101850, 2020. [doi]

Abstract is missing.

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