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Fig. 4 Connection of machine learning with SP techniques for big data from different perspectives.
In this article, a broad overview on big data from different aspects is first presented.
From the technical perspective, algorithms that can handle big data from different resources in a real time manner will be required by the credit management system.
To clarify what the big data refers to, several good surveys have been presented recently and each of them views the big data from different perspectives, including challenges and opportunities [4], background and research status [5], and analytics platforms [6].
In this phase of development, AI technology that is actually a machine learning technology, a small only fraction of a generic Intelligence that science fiction writers describe in their stories, needs a lot of training and that means big data from different sources.
Fig. 4 Connection of machine learning with SP techniques for big data from different perspectives Statistical learning for big data analysis: There is no doubt this is an era of data deluge where learning from these large volumes of data by central processors and storage units seems infeasible.
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Specifically, in Section 1.4.1, we analyze the existing studies on SP for big data from four different perspectives.
Among these surveys, a comprehensive overview of the big data from three different angles, i.e., innovation, competition, and productivity, was presented by the McKinsey Global Institute (MGI) [7].
In an era of big data, information from different components of the Ebola response — tracing contacts, hospitalizing infected persons, safely burying those who pass away — remain in separate, incompatible databases.
Hong Kong entrepreneur Li Ka-shing pledged £20m to help establish a new centre, staffed by 600 scientists, bringing together big data research from different fields of medicine.
The other is to analyze the connections of machine learning with modern signal processing (SP) techniques for big data processing from different perspectives.
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