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In the 19th century, Sir William Thomson made a hypothesis that the chemical elements were based upon knotted vortices in the aether. [2] In an attempt to make a periodic table of the elements, P. G. Tait, C. N. Little and others started to attempt to count all possible knots. [3]
SDTM (Study Data Tabulation Model) defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA).
In the 1860s, Lord Kelvin's theory that atoms were knots in the aether led to Peter Guthrie Tait's creation of the first knot tables for complete classification. Tait, in 1885, published a table of knots with up to ten crossings, and what came to be known as the Tait conjectures .
1945 — Talpain's gnomonic classification of the elements: Diagram in space having the form of a double pyramid [95] 1949 — Wringley's Lamina System: First 2D/3D hybrid [ 96 ] 1954 — Sabo & Lakatosh's volumetric model of the periodic table: Modular apartment building complex form [ 97 ]
In statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the multivariate frequency distribution of the variables. They are heavily used in survey research, business intelligence, engineering, and scientific research.
A common subclass of classification is probabilistic classification. Algorithms of this nature use statistical inference to find the best class for a given instance. Unlike other algorithms, which simply output a "best" class, probabilistic algorithms output a probability of the instance being a member of each of the possible classes.
A chart of accounts compatible with IFRS and US GAAP includes balance sheet (assets, liabilities and equity) and the profit and loss (revenue, expenses, gains and losses) classifications. If used by a consolidated or combined entity, it also includes separate classifications for intercompany transactions and balances.
Data classification is the process of organizing data into categories based on attributes like file type, content, or metadata. The data is then assigned class labels that describe a set of attributes for the corresponding data sets. The goal is to provide meaningful class attributes to former less structured information.