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Still, recent data has brought some warning signs.
The data has brought to light details of the financial interests of politicians, entrepreneurs, financiers – and fraudsters.
Large scale data has brought both benefits and challenges to the field of machine learning.
In recent years, facing information explosion, industry and academia have adopted distributed file system and MapReduce programming model to address new challenges the big data has brought.
The convergence of Internet of Things (IoTs), mobile computing, cloud computing, edge computing and big data has brought a paradigm shift in computing technologies.
Recent data has brought to light differences in IRF3 activation following recognition of different pathogenic stimuli [38], [39], [64].
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Moreover, the era of big data has bring the stakeholders huge amounts of data about various financial networks and thus great opportunities for studying such networks.
This week's economic data have brought few surprises, and The New York Times weekly jobs tracker shows no change: Moody's Analytics forecasts average monthly job growth of 157,000 in the six months leading up to Election Day.
The concepts and tools of these Marketing Mix Models date back over 30 years - but more sophisticated techniques developed in the 1990s/2000s by such agencies as ATG, MindShare, Edge, and Brand Science, coupled with the explosion in the quantity and availability of marketing data, have brought MMM into the mainstream.
Pattern recognition approaches to the analysis of neuroimaging data have brought new applications such as the classification of patients and healthy controls within reach.
Molecular evidence [ 2, 5] has suggested that Nycteridae is not a member of that clade, but a sister group to Emballonuridae, whereas molecular data have brought two previously unassociated groups, Rhinopomatidae and Craseonycteridae, traditionally arranged together with Emballonuridae in the superfamily Emballonuroidea, into the Rhinolophoidea.
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