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Challenges for a data-driven society

large amount of efforts should be made to generate more
useful reduced models. Besides, different reduced models
have different domain space, the exploration of the boundary
for each reduced model is necessary for generating reliable
and high quality process knowledge. These regime
conditions can be determined by physical driven or data
driven methods.
The comprehensive use of data from reduced models can
extract the global and local knowledge of the manufacturing
process. The interesting topics can be robustness analysis,
global and local sensitivity analysis.

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