The papers in this special section focus on Big Data, with particular emphasis on the exploitation of data collected via industrial sensor networks (be it wireless or not) for Internet-based industrial applications. The papers explore the handling and analysis of the collected data. It is expected that analyzing the data can improve the reliability of industrial systems by predicting the occurrence potential risks and then rectification can be made accordingly. Such risks are inevitably linked to uncertain factors hidden in the systems that can be revealed by the data analysis process.
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Chan et al. (2016) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: