Sentence examples for specific data analysis from inspiring English sources
To this end, it is important to know how the data collection function reflects user behavior, and how specific data analysis approaches help making design decisions.
Through actor-oriented and hierarchical modeling features built into Ptolemy, Kepler scientific workflows can operate at very different level of granularity, from low-level "plumbing workflows" that explictely move data around, start and monitor remote jobs, etc. to high-level "conceptual workflows" that interlink complex, domain specific data analysis steps.
No specific data analysis was available differentiating changes in children from adolescents.
This study of road accidents requires specific data analysis in order to obtain the risk factors and the safety performances.
In this context, the study of road accidents requires specific data analysis to obtain the risk factors and the safety performances.
DA is a statistic technique belonging to the so-called "supervised pattern recognition methods," useful for carrying out specific data analysis when a previous unsupervised pattern recognition method, such as PCA, has suggested a potential discrimination among the data.
Single-case experimental designs (SCED) are experimental designs aiming at testing the effect of an intervention using a small number of patients (typically one to three), using repeated measurements, sequential (± randomized) introduction of an intervention and method-specific data analysis, including visual analysis and specific statistics.
Big Data represents the general realm of problems and techniques used for application domains that collect and maintain massive volumes of raw data for domain-specific data analysis.
Noting that the complexity of the data model makes accessing specific data for analysis or integrating data across studies a potential challenge for researchers, we developed RImmPort18 to aggregate and format ImmPort data for analysis in the R statistical environment.
Ultimately, sequencing the whole genome and extracting specific data for analysis will make more economic sense for IRDs.
Pre-survey training in both cities included RDS methodology, processing potential participants through screening for inclusion criteria, gathering RDS specific data for analysis, providing assistance to participants using ACASI, and managing incentive payments.
