Big Data in Complex Systems

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106,99 

Challenges and Opportunities, Studies in Big Data 9

ISBN: 3319110551
ISBN 13: 9783319110554
Herausgeber: Aboul Ella Hassanien/Ahmad Taher Azar/Vaclav Snasael et al
Verlag: Springer Verlag GmbH
Umfang: viii, 499 S., 117 s/w Illustr., 10 farbige Illustr., 499 p. 127 illus., 10 illus. in color.
Erscheinungsdatum: 19.01.2015
Auflage: 1/2015
Format: 3.1 x 2.4 x 16
Gewicht: 895 g
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 7051985 Kategorie:

Beschreibung

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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E-Mail: juergen.hartmann@springer.com

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