Sentence examples for data prioritization from inspiring English sources

Aggregation takes place at the mobile monitoring nodes, which makes the problem challenging due to reasons attributed to mobility and health data prioritization.

The idea of this system is to use the previous individual solutions such as clustering, data prioritization, and data classification in addition to efficient techniques for network management.

We present the design of a Fiber-Wireless Sensor Network (Fi-WSN) gateway where data prioritization is fundamental since ambient data collected from a home will have lower priority than an alarm generated at a smart grid asset.

To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events).

Similar data prioritization and evaluation procedures were used in other neuropsychiatric disorders, such as schizophrenia [19].

Third-party mediation may be required when conflicts feature intense emotion, poor communication, misperceptions, repetitive negative behaviors, disagreement over data, prioritization of multiple issues, and perceived or real incompatible interests between the disputants [ 13].

Enterprise RSS alone is an incredibly fecund space just entering formative stages, but Attensa's focus on attention data and prioritization is particularly intriguing.

RSS as a protocol needs to be expanded so that it can offer more data around prioritization as well as other signals critical to making the technology more effective at the reader layer.

The orthologous protein groups were used to extract experimental information, such as RNAi and expression data, for prioritization or to place higher priority on proteins that were not in the host genomes or have high homology to the PDB (Protein DataBank) [14], [15], [16], [17], [18].

Use of expression data for prioritization of network components is one of the extended applications of gene network analysis.

As expected, the tools that took advantage of phenotype data outperformed prioritization tools that rely on variant analysis alone.