Big Data in Complex Systems

Challenges and Opportunities

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

Part of the Studies in Big Data book series (SBD, volume 9)

Table of contents

  1. Front Matter
    Pages 1-8
  2. Jaroslav Pokorný, Petr Škoda, Ivan Zelinka, David Bednárek, Filip Zavoral, Martin Kruliš et al.
    Pages 29-69
  3. Sharanjit Kaur, Vasudha Bhatnagar, Sharma Chakravarthy
    Pages 105-145
  4. Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 205-229
  5. Miguel Gili-Miner, Juan Luís Cabanillas-Moruno, Gloria Ramírez-Ramírez
    Pages 293-322
  6. S. Udhaya Kumar, H. Hannah Inbarani
    Pages 323-350
  7. Salvatore F. Pileggi, Robert Amor
    Pages 351-374
  8. Islam Ibrahim Amin, Aboul Ella Hassanien, Samar K. Kassim, Hesham A. Hefny
    Pages 375-392
  9. Xiaoni Zhang, Shang Xiang
    Pages 393-418
  10. Ahmed Dridi, Salma Sassi, Anis Tissaoui
    Pages 419-444
  11. S. Senthil Kumar, H. Hannah Inbarani
    Pages 445-470
  12. Back Matter
    Pages 499-499

About this book


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.


Big Data Complex Systems Data Stream Mining Knowledge Discovery Large Databases

Editors and affiliations

  • Aboul Ella Hassanien
    • 1
  • Ahmad Taher Azar
    • 2
  • Vaclav Snasael
    • 3
  • Janusz Kacprzyk
    • 4
  • Jemal H. Abawajy
    • 5
  1. 1.Cairo UniversityCairoEgypt
  2. 2.Faculty of Computers and InformationBenha UniversityBenhaEgypt
  3. 3.Faculty of Elec. Eng. & Comp. Sci., Department of Computer ScienceVSB-Technical University of OstravaOstrava-PorubaCzech Republic
  4. 4.Polish Academy of SciencesWarsawPoland
  5. 5.School of Information Technology, Deakin UniversityAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-11055-4
  • Online ISBN 978-3-319-11056-1
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • Buy this book on publisher's site
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