Sentence examples for sources or data from inspiring English sources

These new generation of services are often characterized by high dynamism and untrustworthiness: existing technologies for managing and applying data privacy policies could be unsuccessful when dealing with this kind of contexts, as they could require too many resources, degrade the data quality to an unacceptable level, be too pervasive for data sources or data requestors.

aQuality-of-Data is a novel concept, akin to SLA, different from data quality, that traditionally refers to other issues such as internal data correctness, semantic coherence, data adherence to real-life sources, or data appropriateness for managerial and business decisions.

Variety refers to the complexity of the data, and there can be a Big Data challenge when the data includes complex problems such as high dimensionality, data from many sources, or data having many different data structures: all of these problems can cause difficulty in processing with traditional computing or techniques (which is also referred to as "Big Variety").

Indeed, as around one-third of articles (56) provide very limited details on their data sources, or data collection and analysis methods, even describing the methods underlying these articles requires an act of judgement.

Compared with the results using other Score_S cutoff values, single data source, or the data from STITCH, the inference of 264 SCZ-related drugs had the highest performance.

However, in many cases, these data sources or the procedure of data collection were not clearly described.

The resulting self-updating road map may be used by itself, in conjunction with other data sources, or embedded in a data analysis ecosystem.

There are also potential disadvantages, such as a bias created by inconsistent data sources or the loss of data when an interviewee chooses to remove valuable material.

can be derived from a single data source or from multiple data sources (see subsections "DNA duplex stability data", "Nucleosome occupation data", and "Data integration method" of this section for details).

For countries lacking a primary data source or with incomplete data, we needed to use data from alternative sources.

The most common baselines used were variations of SVM trained on only the available source or target data.