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It outlines an expansionist programme to bring big data together with the more traditional approaches of the social and humanistic sciences: the worlds of small data.
This story isn't about large organisations running parallel software on tens of thousand of servers, but about more people than ever being able to collaborate effectively around a distributed ecosystem of information, an ecosystem of small data.
For a class of small data we improve the value of this lower bound.
However, mining a single large data tree is more complex than mining a set of small data trees.
Utilization of small data sets for energy consumption forecasting is a major problem because it could create large noise.
This problem departs from previous ones which focus on mining-induced or embedded tree patterns from a set of small data trees.
Similar(19)
These compromises may be through reduced complexity models (simpler or less realistic) or the processing of smaller data sets than desired.
The meta-analysis in the current study sought to specifically examine (1) small effects and (2) possible moderating variables associated with ApoE allele combinations that may have been undiscoverable in previous examinations of smaller data sets.
Use of smaller data sets would have lead to low power and biased findings because of the ill-representation of individuals across cohort groups.
Regarding the handling of the small data, we could borrow some ideas from the biostatistics literature.
The energy and cooling efficiency of a small data center is then evaluated by applying several metrics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com