Abstract
Dependencies, associations, correlations, and co-variances found out during big data analysis could unveil the basis of phenomena hard to understand. Recent paradigm of big data analysis has proven its potentiality with big data arose from social activities. Such big data could be generated in some engineering areas, since many kinds of sensors are equipped for researches in engineering. This work presents a scheme of an analysis against big sensor-data in a case of data measured on the railroad. The scheme is composed of procedurees for composite analysis comprised of engineering analyses and big data analysis. A role-based system diagram digests this data-intensive computing of the composite analysis.
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Ok, MH., Jung, Hs. (2013). A Systematical Scheme of Composite Analysis on Big Sensor-Data of Engineering Inspection. In: Matera, M., Rossi, G. (eds) Trends in Mobile Web Information Systems. MobiWIS 2013. Communications in Computer and Information Science, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-03737-0_8
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DOI: https://doi.org/10.1007/978-3-319-03737-0_8
Publisher Name: Springer, Cham
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