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Big Data in Complex Systems

Challenges and Opportunities

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  • © 2015

Overview

Editors:
  1. Aboul Ella Hassanien

    1. Cairo University, Cairo, Egypt

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  2. Ahmad Taher Azar

    1. Faculty of Computers and Information, Benha University, Benha, Egypt

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  3. Vaclav Snasael

    1. Faculty of Elec. Eng. & Comp. Sci., Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

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  4. Janusz Kacprzyk

    1. Polish Academy of Sciences, Warsaw, Poland

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  5. Jemal H. Abawajy

    1. School of Information Technology, Deakin University, Australia

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  • Provides challenges and opportunities of Big Data in Complex Systems
  • State of the art and in-depth material on the application of Big Data in complex systems
  • Presents new aspects of efficient processing of massive data and knowledge discovery from large databases

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

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Table of contents (17 chapters)

  1. Front Matter

    Pages 1-8
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  2. Cloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead

    • Renu Vashist
    Pages 1-28

  3. Big Data Movement: A Challenge in Data Processing

    • Jaroslav Pokorný, Petr Å koda, Ivan Zelinka, David Bednárek, Filip Zavoral, Martin KruliÅ¡ et al.
    Pages 29-69

  4. Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data

    • Rui Henriques, Sara C. Madeira
    Pages 71-104

  5. Stream Clustering Algorithms: A Primer

    • Sharanjit Kaur, Vasudha Bhatnagar, Sharma Chakravarthy
    Pages 105-145

  6. Cross Language Duplicate Record Detection in Big Data

    • Ahmed H. Yousef
    Pages 147-171

  7. A Novel Hybridized Rough Set and Improved Harmony Search Based Feature Selection for Protein Sequence Classification

    • M. Bagyamathi, H. Hannah Inbarani
    Pages 173-204

  8. Autonomic Discovery of News Evolvement in Twitter

    • Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 205-229

  9. Hybrid Tolerance Rough Set Based Intelligent Approaches for Social Tagging Systems

    • H. Hannah Inbarani, S. Selva Kumar
    Pages 231-261

  10. Exploitation of Healthcare Databases in Anesthesiology and Surgical Care for Comparing Comorbidity Indexes in Cholecystectomized Patients

    • Luís Béjar-Prado, Enrique Gili-Ortiz, Julio López-Méndez
    Pages 263-292

  11. Sickness Absence and Record Linkage Using Primary Healthcare, Hospital and Occupational Databases

    • Miguel Gili-Miner, Juan Luís Cabanillas-Moruno, Gloria Ramírez-Ramírez
    Pages 293-322

  12. Classification of ECG Cardiac Arrhythmias Using Bijective Soft Set

    • S. Udhaya Kumar, H. Hannah Inbarani
    Pages 323-350

  13. Semantic Geographic Space: From Big Data to Ecosystems of Data

    • Salvatore F. Pileggi, Robert Amor
    Pages 351-374

  14. Big DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer

    • Islam Ibrahim Amin, Aboul Ella Hassanien, Samar K. Kassim, Hesham A. Hefny
    Pages 375-392

  15. Data Quality, Analytics, and Privacy in Big Data

    • Xiaoni Zhang, Shang Xiang
    Pages 393-418

  16. Search, Analysis and Visual Comparison of Massive and Heterogeneous Data

    • Ahmed Dridi, Salma Sassi, Anis Tissaoui
    Pages 419-444

  17. Modified Soft Rough Set Based ECG Signal Classification for Cardiac Arrhythmias

    • S. Senthil Kumar, H. Hannah Inbarani
    Pages 445-470

  18. Towards a New Architecture for the Description and Manipulation of Large Distributed Data

    • Fadoua Hassen, Amel Grissa Touzi
    Pages 471-497

  19. Back Matter

    Pages 499-499
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Keywords

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.

Editors and Affiliations

  • Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  • Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

  • Faculty of Elec. Eng. & Comp. Sci., Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Vaclav Snasael

  • Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  • School of Information Technology, Deakin University, Australia

    Jemal H. Abawajy

Bibliographic Information

  • Book Title: Big Data in Complex Systems

  • Book Subtitle: Challenges and Opportunities

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

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-319-11056-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-11055-4Published: 19 January 2015

  • Softcover ISBN: 978-3-319-35290-9Published: 24 September 2016

  • eBook ISBN: 978-3-319-11056-1Published: 02 January 2015

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: VIII, 499

  • Number of Illustrations: 117 b/w illustrations, 10 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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