Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/74561
Title: Big Data in Complex Systems
Other Titles: Challenges and Opportunities
Authors: Hassanien, Aboul Ella.;Azar, Ahmad Taher.;Snasael, Vaclav.;Kacprzyk, Janusz.;Abawajy, Jemal H.
subject: Engineering;Artificial Intelligence;Engineering;Computational Intelligence.;Artificial Intelligence
Year: 2015
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Studies in Big Data, 2197-6503 9.
Studies in Big Data, 2197-6503 9.
Abstract: 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.
Description: Printed edition: 9783319110554.
URI: http://46.100.53.162/handle/Ebook/74561
ISBN: 9783319110561.
9783319110554 (print)
Appears in Collections:علوم پایه

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Title: Big Data in Complex Systems
Other Titles: Challenges and Opportunities
Authors: Hassanien, Aboul Ella.;Azar, Ahmad Taher.;Snasael, Vaclav.;Kacprzyk, Janusz.;Abawajy, Jemal H.
subject: Engineering;Artificial Intelligence;Engineering;Computational Intelligence.;Artificial Intelligence
Year: 2015
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Studies in Big Data, 2197-6503 9.
Studies in Big Data, 2197-6503 9.
Abstract: 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.
Description: Printed edition: 9783319110554.
URI: http://46.100.53.162/handle/Ebook/74561
ISBN: 9783319110561.
9783319110554 (print)
Appears in Collections:علوم پایه

Files in This Item:
File Description SizeFormat 
9783319110561.pdf17.44 MBAdobe PDFThumbnail
Preview File
Title: Big Data in Complex Systems
Other Titles: Challenges and Opportunities
Authors: Hassanien, Aboul Ella.;Azar, Ahmad Taher.;Snasael, Vaclav.;Kacprzyk, Janusz.;Abawajy, Jemal H.
subject: Engineering;Artificial Intelligence;Engineering;Computational Intelligence.;Artificial Intelligence
Year: 2015
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Studies in Big Data, 2197-6503 9.
Studies in Big Data, 2197-6503 9.
Abstract: 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.
Description: Printed edition: 9783319110554.
URI: http://46.100.53.162/handle/Ebook/74561
ISBN: 9783319110561.
9783319110554 (print)
Appears in Collections:علوم پایه

Files in This Item:
File Description SizeFormat 
9783319110561.pdf17.44 MBAdobe PDFThumbnail
Preview File