Litcius/Paper detail

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

Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos

2020Data & Knowledge Engineering80 citationsDOI

Topics & Concepts

Computer scienceAnomaly detectionDowntimeData miningFeature selectionPrognosticsMachine learningArtificial intelligenceOperating systemFault Detection and Control SystemsAnomaly Detection Techniques and ApplicationsAdvanced Statistical Process Monitoring