Sentence examples for outcomes of data from inspiring English sources

This property tends more toward the outcomes of data analytics and data processing processes and is directly proportional to other 5Vs in big data systems.

The remaining sections introduce concept development (Sect. 3), the research design (Sect. 4) and thereafter present the outcomes of data analysis (Sect. 5).

c) Visualization: The outcomes of data analysis may not effectively be understood without the visualization of the interactions among webservers, and without the visualization of the path traversals and clickstreams.

In all, the analytical outcomes of data mining/knowledge discovery (see [55] for an overview with relevant use cases) serve to improve urban operational functioning, optimize resources utilization, reduce environmental risks, and enhance the quality of life and well-being of citizens.

Several authors (e.g., Cohen, Manion, & Morrison, 2011; Creswell, 2008; Greene, 2008) suggest the power of a mixed methods approach (i.e., the combination of quantitative and qualitative research methods) in answering research questions and in strengthening the inferences in both processes and outcomes of data analysis.

For this reason, a cross-tabulation of colposcopic impressions with the most severe histological diagnoses was included among the outcomes of data analysis.

The most elegant behavioural theories may turn out to be little more than chance outcomes of data-mining over a certain period in the past giving them little or no predictive value for the future.And it so happens that in the past few weeks value fund managers have done better than the racier newcomers, as investors have started to look at cheaper, smaller companies.

We use the terms predictions, computational inferences or hypotheses to refer to the outcomes of data-analytic algorithms.

The DB contains all data as alphanumeric values according to standard data formats, which represent the outcome of data classification and standardization with spatial information.

The outcome of data analysis and its discussion in previous sections revealed that the PMEDG process is governed prominently by powder concentration, discharge energy and grinding action.

This section includes detailed discussion on the outcome of data analysis with respect to the material removal rate (MRR), surface roughness (SR) and surface integrity during the powder mixed electric discharge grinding (PMEDG) of Al2O3 SiCw TiC ceramic composite.