Shrivenham, United Kingdom

Extreme Learning to Handle Big Data

Table of contents

Extreme Learning to Handle Big Data at Cranfield University

Language: English Studies in English
Subject area: teacher training and education science
University website: www.cranfield.ac.uk

Definitions and quotes

Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
While near-surface disposal of short-lived nuclear waste has reached industrial maturity, deep geological disposal of long-lived spent fuel is not yet as far. An EU-funded initiative brought together regulators and technical safety organisations (TSOs) to develop a network of independent experts and evaluate deep geological repositories.
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