Sentence examples for big data age methods from inspiring English sources
With the emergence of the big data age, methods for quickly and accurately obtaining valuable hot topics from the vast amount of digitized textual material have attracted much attention.
For the input (see also in "Big data input") and output (see also "Output the result of big data analysis") of big data, several methods and solutions proposed before the big data age (see also "Data input") can also be employed for big data analytics in most cases.
As we are in the big data age, graph data such as user networks in Facebook and Flickr becomes large.
The traditional data preprocessing methods [73] (e.g., compression, sampling, feature selection, and so on) are expected to be able to operate effectively in the big data age.
This means that traditional reduction solutions can also be used in the big data age because the complexity and memory space needed for the process of data analysis will be decreased by using sampling and dimension reduction methods.
Many problems of data security and privacy are essentially the same as those of the traditional data analysis even if we are entering the big data age.
It would focus on genomics, big data, aging, and nutrition.
This paper presents a novel fault diagnosis method for battery systems in electric vehicles based on big data statistical methods.
In [11], Wu et al. characterized the features of the big data revolution and proposed big data processing methods with machine learning and data mining algorithms.
The wide spectrum view of the proposed methods for big data reduction uncovers the fact that the research on big data reduction methods is being carried out at several levels of big data architecture and in different forms.
