data attribute

data attribute

[′dad·ə ¦a·trə′byüt]
(computer science)
A characteristic of a block of data, such as the type of representation used or the length in characters.
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First, we determine if multi-collinearity or heteroscedasticity exists through Data Attribute Analysis (DAA).
Canonical Correspondence Analysis: After laboratory analysis, matrix sheets were prepared in Microsoft excel and were run in CANOCO to obtain species scatter biplots, data attribute plots, species response curves (GAM), t-value biplots and pie symbol plot for all the three zones and showed significant results.
In DBSCAN and ICEAGE algorithms, the agricultural data attribute (k) is responsible for the density of the redundant cluster.
Therefore, a data attribute should be validated if it will be entered by a system user or transmitted from a system interface.
In the same manner, the data models for the BI environment document the overall high level data requirements all the way down to the technical formats and constraints on each individual data attribute.
Unlike the previously available Data Join feature relate allows you to access the related data when you work with the data attribute instead of linking or joining the data as one.
Divided into four levels of functionality, Conic consists of Conic Mapbook, which provides field map viewing and navigation; Conic Redline, which provides redlining and sketching; Conic Inspection, which provides data attribute access and query; and Conic Survey, which provides basemap modification capabilities.
The presumption that market-based information is the most relevant financial data attribute should be recognized.
Triggers can be based on any relevant data attribute or behavioral event.
UnboundID's knowledge and expertise in data attribute exchange at the foundational level and their consistent development of successful real-world solutions for open identity exchange in various vertical markets bolsters the OIX technology membership team.
Rules can be based on any data attribute in the system, including title, summary, source, severity, employee, or user defined attributes.
PCB manufacturers often struggle to make sense of the huge amounts of data flooding in from a multitude of sources across the factory floor, particularly when there's wide variance among the data attributes than need to be analyzed.

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