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New Horizons for a Data-Driven Economy

Overview of attention for book
Cover of 'New Horizons for a Data-Driven Economy'

Table of Contents

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    Book Overview
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    Chapter 1 The Big Data Value Opportunity
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    Chapter 2 The BIG Project
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    Chapter 3 The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches
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    Chapter 4 Big Data Acquisition
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    Chapter 5 Big Data Analysis
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    Chapter 6 Big Data Curation
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    Chapter 7 Big Data Storage
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    Chapter 8 Big Data Usage
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    Chapter 9 Big Data-Driven Innovation in Industrial Sectors
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    Chapter 10 Big Data in the Health Sector
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    Chapter 11 Big Data in the Public Sector
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    Chapter 12 Big Data in the Finance and Insurance Sectors
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    Chapter 13 Big Data in the Energy and Transport Sectors
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    Chapter 14 Big Data in the Media and Entertainment Sectors
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    Chapter 15 Cross-sectorial Requirements Analysis for Big Data Research
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    Chapter 16 New Horizons for a Data-Driven Economy: Roadmaps and Action Plans for Technology, Businesses, Policy, and Society
Attention for Chapter 13: Big Data in the Energy and Transport Sectors
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Citations

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Chapter title
Big Data in the Energy and Transport Sectors
Chapter number 13
Book title
New Horizons for a Data-Driven Economy
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-21569-3_13
Book ISBNs
978-3-31-921568-6, 978-3-31-921569-3
Authors

Sebnem Rusitschka, Edward Curry, Rusitschka, Sebnem, Curry, Edward

Editors

José María Cavanillas, Edward Curry, Wolfgang Wahlster

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Ph. D. Student 8 16%
Researcher 6 12%
Student > Doctoral Student 4 8%
Lecturer 3 6%
Other 8 16%
Unknown 10 20%
Readers by discipline Count As %
Computer Science 15 31%
Engineering 9 18%
Business, Management and Accounting 3 6%
Energy 2 4%
Economics, Econometrics and Finance 2 4%
Other 4 8%
Unknown 14 29%

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