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In this article, we propose REx (data-driven Retrieval of Experiments), which extends our earlier data-driven information retrieval method (Caldas et al., 2009).
Focused on the problems arising from the lack of systematic and comprehensive integration, an information transfer-based novel data-driven framework for fault root cause tracing of complex electromechanical systems in the processing industry was proposed, taking into consideration the experience and qualitative analysis of conventional fault root cause tracing methods.
These increases in precision improve the end users' experience quality in using the extraction system because it lowers the time that users spend for training the system and correcting outputs, focusing more on analyzing the information extracted to make better data-driven decisions.
Data-driven decision-making.
Data-driven clustering.
See Also: Data-Driven Companies.
Data-Driven Products.
Data-Driven Processes.
Being data-driven pays!
Data-Driven Global Boundary Optimization Text-to-speech synthesis.
The Data-Driven You.
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