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It might be 35 years old, but this will do nicely as a theory of data journalism in 2012.
Formal Concept Analysis (FCA) is the mathematical theory of data analysis using formal contexts and concept lattices [12 14].
Inspired by the theory of data separation of sparse representations [6], we simplify the ℓ 1-min process and apply it as a pre-processing step.
Second, since MTC is a theory of information without meaning (not in the sense of meaningless, but in the sense of not yet meaningful), and since we have seen that [information − meaning = data], "mathematical theory of data communication" is a far more appropriate description of this branch of probability theory than "information theory".
Psychologist Stanley Smith Stevens is credited with developing the theory of data types that are pertinent for pen-and-paper tests used to measure psychological constructs (Stevens, 1946).
Introduced by Wille [ 16], Formal Concept Analysis (FCA) is a theory of data analysis identifying conceptual structures within data sets [ 17].
Similar(54)
The 18th century was marked by the expansion of statistical theory, ideas of data graphical representation and the advent of new graphic forms.
To compare to theory, mean of data was fit to two functions.
Understanding the theory of spatial data harmonization - understanding techniques which can be used for converting data between different data structures, while losing as little information as possible.
We refine the theory of helper data schemes with the zero leakage (ZL) property, i.e., the mutual information between the helper data and the extracted secret is zero.
The theory of big data is to have no theory, at least about human nature.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com