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The quantities, locations, timing and features of data streams can be mined and refined to extract useful information.
The components and features of data can be extracted through mathematical equations.
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In addition, there are some characteristics and features of big data that are called the Vs of big data management.
The number of cases and features of these data sets are described in the Methods section.
However, the experimental design and features of the data allow for the elimination of most microbes.
Although advanced statistical models have been developed and applied to describe trajectories of cognitive change, model assumptions and features of the data and study designs need to be accounted for when implementing these models in dementia research.
For detection of fractures, we have used wavelet transform and properties of wavelets that are highly suitable for detection of changes and local features of data.
SOM, which is a special kind of artificial neural networks (ANNs), is a powerful technique for extracting and visualizing salient features of data and for solving classification problems.
Evaluation of mode effects should identify and report key features of data collection method, not simply categorise by overall mode.
Fundamentals of characterizing and recognizing patterns and features of interest in numerical data.
Second, we extract the features of data and save the classifier model to the pool, and when new data is coming, the system chooses the most appropriate model or constructs a new classifier that suits the received data.
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