In this theory, observations are purely considered as data planes, from which structure parameters have to be determined using a parametric model describing the images.
Finally, the advantages of designs using regions of damage sizes in the design criteria should be seriously considered as data requirements for design information would be significantly reduced.
Therefore, an assumption that the other population might be distributed around this area and more further explorations are needed to determine its full range distribution, the species should be considered as data deficient for now.
Images are then purely considered as data planes from which structure parameters have to be determined as accurately and precisely as possible using a parametric statistical model of the observations.
The entire mapping and reducing phase can be considered as data preprocessing in terms of the proposed architecture while the correlation calculation may be considered data mining component.
For example, on the one hand, the Article 29 Working Party offer guidance to the effect that samples cannot be considered as data (Article 29 Data Protection Working Party 2007a, p. 9).
For example, outliers are data points that lie away from the trend of data, while noise is considered as data points around the trend of overall data and in the same neighborhood as the true data (Athichanagorn et al. 2002).
Pictures captured by CCTV cameras, log data from physical access control points, sensors data from an immersive educational space, and Internet usage data relating to learning may be considered as data collected through sensors.
We have already argued that the physical sample should be considered as data, and this would accordingly be considered data which 'concerned' inherited characteristics – the genome would be extracted from the raw sample.
These were considered as data, and subjected to analysis and interpretation during synthesis.
Furthermore, data are considered as "data heaps" which are displayed in tables made of rows and columns (spreadsheets).
