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                                       Details for article 5 of 6 found articles
 
 
  Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools
 
 
Title: Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools
Author: Langone, Rocco
Cuzzocrea, Alfredo
Skantzos, Nikolaos
Appeared in: Data & knowledge engineering
Paging: Volume 130 () nr. C pages p.
Year: 2020
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 6 found articles
 
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