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Big crisis data analytics can be performed to answer various kinds of questions.
Previously, we have seen that analytics can be performed through exploiting three sources of intelligence: humans, crowds of humans, and machines (that are either programmed by humans or learn from data).
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We have not attempted its analytic proof, but we believe that it can be performed.
Since the theoretical investigations can be performed by help of standard techniques [18, 19], we restrict ourselves to the presentation of the analytic results, omitting the respective derivations.
Big data analytics can also be performed in the cloud.
Researchers are studying the complex nature of healthcare data in terms of both characteristics of the data itself and the taxonomy of analytics that can be meaningfully performed on them.
All procedures (sample handling, analytics) were performed by co-workers blinded to the experimental groups.
All assays and analytics were performed with cells in the exponential growth phase.
Analytic studies were performed using computer simulations by Ecotect software.
All analytic measurements were performed at least 3 times.
Analytic tests were performed using SPSS17.0 Software.
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