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Big data in complex systems: challenges and opportunities

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets...

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Detalles Bibliográficos
Autores principales: Hassanien, Aboul, Azar, Ahmad, Snasael, Vaclav, Kacprzyk, Janusz, Abawajy, Jemal
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-11056-1
http://cds.cern.ch/record/1987444
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author Hassanien, Aboul
Azar, Ahmad
Snasael, Vaclav
Kacprzyk, Janusz
Abawajy, Jemal
author_facet Hassanien, Aboul
Azar, Ahmad
Snasael, Vaclav
Kacprzyk, Janusz
Abawajy, Jemal
author_sort Hassanien, Aboul
collection CERN
description This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other  foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate  students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Springer
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spelling cern-19874442021-04-21T20:34:33Zdoi:10.1007/978-3-319-11056-1http://cds.cern.ch/record/1987444engHassanien, AboulAzar, AhmadSnasael, VaclavKacprzyk, JanuszAbawajy, JemalBig data in complex systems: challenges and opportunitiesEngineeringThis volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other  foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate  students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.Springeroai:cds.cern.ch:19874442015
spellingShingle Engineering
Hassanien, Aboul
Azar, Ahmad
Snasael, Vaclav
Kacprzyk, Janusz
Abawajy, Jemal
Big data in complex systems: challenges and opportunities
title Big data in complex systems: challenges and opportunities
title_full Big data in complex systems: challenges and opportunities
title_fullStr Big data in complex systems: challenges and opportunities
title_full_unstemmed Big data in complex systems: challenges and opportunities
title_short Big data in complex systems: challenges and opportunities
title_sort big data in complex systems: challenges and opportunities
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-11056-1
http://cds.cern.ch/record/1987444
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AT kacprzykjanusz bigdataincomplexsystemschallengesandopportunities
AT abawajyjemal bigdataincomplexsystemschallengesandopportunities