Sentence examples for big data analysis in from inspiring English sources

Data mining algorithms for data analysis also play the vital role in the big data analysis, in terms of the computation cost, memory requirement, and accuracy of the end results.

For effectively utilization of acquired resources in Autonomous Vehicle (AV), big data analysis in real time will be a reliable way to produce valuable information from sensor data.

This project investigates two important, non-linear, structural settings in order to start making progress toward using RandNLA (Randomized Numerical Linear Algebra) approaches to big data analysis in situations where the underlying data exhibit non-linear structure.

As these data become more behavioral in nature, we argue that a shift to connectionist paradigms of modeling is called for as well as a reaffirming of the ethical responsibilities of big data analysis in education.

This review is intended to highlight the importance of big data analysis in advancing our understanding of the mechanisms of actions of adjuvants to inform rational development of future human vaccines.

To emphasize the significant of data fusion or knowledge discovery, an efficient architecture has been proposed for real-time big data analysis in an autonomous vehicle, which indeed will keep pace with the latest trends and development with respect to emerging big data paradigm.

Here, we review some of the recent advances in the application of big data analysis techniques in structural and functional imaging data.

Despite of that, LML models guide the big data analysis problem in the right direction, where new ideas from different domains can be incorporated to improve the quality and contribution of the knowledge-base.

In the meantime, outsiders should be attentive to the challenges of big data analysis, as summarized in the OCCAM framework, and apply considerable caution in interpreting such analyses.

The feasibility of Global Positioning System (GPS) and emerging big data analysis technique enable the in-depth analysis on this topic, while to date, applications had been rather few.

Par Stream has raised $5.6 million for further extending its big data analysis technology that uses in-memory and massive parallel processing to do real-time analysis.