The Open UniversitySkip to content
 

Big Data Analysis

Domingue, John; Lasierra, Nelia; Fensel, Anna; van Kasteren, Tim; Strohbach, Martin and Thalhammer, Andreas (2016). Big Data Analysis. In: Cavanillas, José María; Curry, Edward and Wahlster, Wolfgang eds. New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe. Springer Open, pp. 63–86.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (198kB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-3-319-21569-3_5
Google Scholar: Look up in Google Scholar

Abstract

The value of big data is predicated on the ability to detect trends and patterns and more generally to make sense of the large volumes of data that is often comprised of a heterogeneous mix of format, structure, and semantics. Big data analysis is the component of the big data value chain that focuses on transforming raw acquired data into a coherent usable resource suitable for analysis. Using a range of interviews with key stakeholders in small and large companies and academia, this chapter outlines key insights, state of the art, emerging trends, future requirements, and sectorial case studies for data analysis.

Item Type: Book Section
Copyright Holders: 2016 The Authors
ISBN: 3-319-21568-X, 978-3-319-21568-6
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Related URLs:
Item ID: 58994
Depositing User: Kay Dave
Date Deposited: 04 Feb 2019 10:28
Last Modified: 30 Mar 2019 16:29
URI: http://oro.open.ac.uk/id/eprint/58994
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU