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But with new data sources and analytical methods of big data research more improvements could be achieved.
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To study how to explore valuable information among multimedia big data with low complexity, this paper proposes an object detection method of big data, which is in compressive measurement domain under a mobile distributed computing architecture.
Software analytics and the use of computational methods on "big data" in software engineering is transforming the ways software is developed, used, improved and deployed.
To overcome the disadvantages of these methods, analysis of big location data from mobile phone systems was applied to prevent third-party damage to pipelines, and a third-party damage prevention system was developed for pipelines including encryption mobile phone data, data preprocessing, and extraction of characteristic patterns.
He also studies the operating methods of other big league sports.
This article presents a thorough literature review of methods for big data reduction.
Keeping in view the big data complexity, the need for big data reduction, and analyzing big data reduction problem in different perspective, we present a thorough literature review of the methods for big data reduction.
In this section, we thoroughly discussed the open issues, research challenges, the limitations of proposed methods for big data reduction and presented some future research directions.
Research on methods for Big Data are of interest, since there are millions of online reviews, with many more being generated daily.
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.
Márquez has resorted to bizarre methods before ahead of big fights.
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CEO of Professional Science Editing for Scientists @ prosciediting.com