Sentence examples for extremely large volume of from inspiring English sources

Given the extremely large volume of polling data that has been published in the closing days of the campaign, you should mostly be looking for cases in which there are trends apparent across several different surveys of the same state.

However, in this study, the time-series statuses of all generators produce an extremely large volume of data for ANN learning, which is completely different from the traditional applications.

Since DDoS attack detection systems are required to handle an extremely large volume of traffic, we base our description of the web browsing patterns on PCA instead of nonlinear methods such as kernel methods and manifold learning [10, 11].

In this study, the levels of KL-6 in induced sputum were comparable with those in circulating blood, indicating that an extremely large volume of KL-6 exists in the ELF of the patients with COPD.

An analysis of the outliers indicates that these are mainly compounds with extremely large volumes of distribution.

The oil and gas industry has a huge demand for high-performance computing on extremely large volumes of data.

Extraction of bitumen from the shallow oil sands generates extremely large volumes of waters contaminated by naphthenic acid which pose severe environmental and ecological risks.

Hence, Hadoop has the potential to process extremely large volumes of data mainly by allocating partitioned data sets to numerous nodes, each of which has capability to solve different part of the large problem in parallel.

Real-time is a challenging objective for hyperspectral image processing, as hyperspectral images consist of extremely large volumes of data and this problem is often solved by reducing image size before starting the processing itself.

Optimization of such a complex system requires strategies that efficiently discover solutions in extremely large volumes of potential experimental space.

Moreover, the system-level complexity is increased due to extensive computational requirements of big data systems to handle extremely large volume, complex (mostly unstructured and semi-structured), and sparse nature of the data.