Exact(15)
Another issue, and an important principle, is data diversity.
By doing so, the generalization and data diversity are increased.
The proposed taxonomy is used to classify well known techniques, for example, N-version programming, exception handling and data diversity.
Then, four major TESEMA variables are used in multivariate statistical analyses to reduce the big data diversity.
the new ones work under different metrics that need to assemble superior data diversity (i.e. newly revealed layers of disease heterogeneity), and thus face new complexities (increased number of predictors, risk factors and confounders to account for).
According to Dumbill [51] and Kambatla et al. [61], data diversity is a common case for big data system and a frequent use of big data analytics is to consider unstructured data and find meaningful information.
Similar(45)
Tech companies have been releasing data about diversity for the past year or so, but relatively little is known about diversity in the startup and venture capital ecosystem.
Last month, Alphabet's Google released data on diversity, saying it had more black, Latino and female employees but still lagged its goal of mirroring the population.
This month, the U.S. Carrier Mix data showed diversity of the Mobile Web.
"[A]n important first step to progress" is "awareness of the data" on diversity, they continue.
The visual inspection of the data reveals diversity across countries, but few stylised facts stand out.
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