December 2013
Intermediate to advanced
564 pages
19h 54m
English
Content preview from Big Data Computing
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62 Big Data Computing
machine learning techniques to the evaluation of large amounts of tomo-
graphic images generated by computer (Zinterhof, 2012). The idea is to apply
proven techniques of machine learning for image segmentation, in the eld
of computer tomography.
In several areas of science and research such as astronomy (automated sky
survey), sociology (web log analysis of behavioral data), and neuroscience
(genetic and neuroimaging data analysis), the aim of Big Data analysis
is to extract meaning from data and determine what actions take. To cope
with the large amount of experimental data produced by research experi-
ments, the University Montpellier started the ZENITH project [Zenith] that
adopts a hybrid architecture p2p/clou ...
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