Sentence examples for data terminology from inspiring English sources

The Big heterogeneous data for intrusion detection section will further elaborate on Big Heterogeneous Data in terms of inputs and output categories now that the rationale behind the Big Heterogeneous Data terminology has been presented.

The US law which was passed by the Congress in 2012 stipulates that FDA must establish standardized clinical data terminology for electronic submissions and standardization of drug application data.

In addition[ 11], the Food and Drug Administration Safety and Innovation Act (FDASIA) passed by the Congress in 2012 stipulates that the FDA must establish standardized clinical data terminology for electronic submissions and standardization of drug application data[ 12].

Next, we provide evidence that non-detects are not missing completely at random and are likely missing not at random; therefore, filtering these data will also introduce bias in subsequent analyses (for an introduction to missing data terminology, see Gelman and Hill, 2007, Chap. 25).

Both models support detailed document structures, validation rules for different data types, terminology bindings to reference terminologies and locally defined terms.

The early work of the Markle Communications for Health group has revealed a need for standards in the following areas: reference information models (RIM), data types, terminology, clinical documents, clinical templates, data interchange, implementation manuals, rules, tool sets, terminology services, security, identifiers, and guidelines.

The IUCr has always had a major emphasis on data and terminology.

Following the introduction of data, the terminology in this study will be given.

Future trap reporting would benefit from standard methods for recording and storing large amounts of data, consistent terminology, and more stringent controls on the content of cells.

For the purpose of this paper, which is to consider learner model negotiation approaches for today's context of multiple learning activities contributing data, the terminology adopted will be straightforward.

Our main purpose is to describe the conditional Poisson model, but before doing this we introduce the illustrative data and terminology, and briefly review the conditional logistic regression and unconditional Poisson regression formulations for case cross-over studies.