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A Big Data Analytical Architecture for the Asset Management
2017
Procedia CIRP
The paper highlights the characteristics of data and big data analytics in manufacturing, more specifically for the industrial asset management. The authors highlight important aspects of the analytical system architecture for purposes of asset management. The authors cover the data and big data technology aspects of the domain of interest. This is followed by application of the big data analytics and technologies, such as machine learning and data mining for asset management. The paper also
doi:10.1016/j.procir.2017.03.019
fatcat:vxr74wpzvvfcfdzwqbylgu6uky