Cross-Sectorial Semantic Model for Support of Data Analytics in Process Industries

The process industries rely on various software systems and use a wide range of technologies. Predictive modeling techniques are often applied to data obtained from these systems to build the predictive functions used to optimize the production processes. Therefore, there is a need to provide a prop...

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Bibliographic Details
Main Authors: Martin Sarnovsky, Peter Bednar, Miroslav Smatana
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Processes
Subjects:
Online Access:https://www.mdpi.com/2227-9717/7/5/281