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Big Data in Complex Systems - Challenges and Opportunities (Paperback, Softcover reprint of the original 1st ed. 2015) Loot Price: R4,475
Discovery Miles 44 750
Big Data in Complex Systems - Challenges and Opportunities (Paperback, Softcover reprint of the original 1st ed. 2015): Aboul...

Big Data in Complex Systems - Challenges and Opportunities (Paperback, Softcover reprint of the original 1st ed. 2015)

Aboul Ella Hassanien, Ahmad Taher Azar, Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy

Series: Studies in Big Data, 9

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Loot Price R4,475 Discovery Miles 44 750 | Repayment Terms: R419 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Studies in Big Data, 9
Release date: September 2016
First published: 2015
Editors: Aboul Ella Hassanien • Ahmad Taher Azar • Vaclav Snasael • Janusz Kacprzyk • Jemal H. Abawajy
Dimensions: 235 x 155 x 26mm (L x W x T)
Format: Paperback
Pages: 499
Edition: Softcover reprint of the original 1st ed. 2015
ISBN-13: 978-3-319-35290-9
Categories: Books > Computing & IT > General
LSN: 3-319-35290-3
Barcode: 9783319352909

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