Big Data in Complex Systems Challenges and Opportunities
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 native
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Aboul Ella Hassanien · Ahmad Taher Azar Vaclav Snasel · Janusz Kacprzyk Jemal H. Abawajy Editors
Big Data in Complex Systems Challenges and Opportunities
Studies in Big Data Volume 9
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
About this Series The series “Studies in Big Data” (SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence incl. neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. More information about this series at http://www.springer.com/series/11970
Aboul Ella Hassanien · Ahmad Taher Azar Vaclav Snasel · Janusz Kacprzyk Jemal H. Abawajy Editors
Big Data in Complex Systems Challenges and Opportunities
ABC
Janusz Kacprzyk Polish Academy of Sciences Warsaw Poland
Editors Aboul Ella Hassanien Cairo University Cairo Egypt Ahmad Taher Azar Faculty of Computers and Information Benha University Benha Egypt
Jemal H. Abawajy School of Information Technology Deakin University Victoria Australia
Vaclav Snasel Faculty of Elec. Eng. & Comp. Sci. Department of Computer Science VSB-Technical University of Ostrava Ostrava-Poruba Czech Republic
ISSN 2197-6503 Studies in Big Data ISBN 978-3-319-11055-4 DOI 10.1007/978-3-319-11056-1
ISSN 2197-6511
(electronic)
ISBN 978-3-319-11056-1
(eBook)
Library of Congress Control Number: 2014949168 Springer Cham Heidelberg New York Dordrecht London c Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does
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