Intelligent Methods and Big Data in Industrial Applications
The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster i
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Robert Bembenik · Łukasz Skonieczny Grzegorz Protaziuk Marzena Kryszkiewicz · Henryk Rybinski Editors
Intelligent Methods and Big Data in Industrial Applications
Studies in Big Data Volume 40
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
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 including 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
Robert Bembenik Łukasz Skonieczny Grzegorz Protaziuk Marzena Kryszkiewicz Henryk Rybinski •
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Editors
Intelligent Methods and Big Data in Industrial Applications
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Editors Robert Bembenik Institute of Computer Science Warsaw University of Technology Warsaw Poland
Marzena Kryszkiewicz Institute of Computer Science Warsaw University of Technology Warsaw Poland
Łukasz Skonieczny Institute of Computer Science Warsaw University of Technology Warsaw Poland
Henryk Rybinski Institute of Computer Science Warsaw University of Technology Warsaw Poland
Grzegorz Protaziuk Institute of Computer Science Warsaw University of Technology Warsaw Poland
ISSN 2197-6503 ISSN 2197-6511 (electronic) Studies in Big Data ISBN 978-3-319-77603-3 ISBN 978-3-319-77604-0 (eBook) https://doi.org/10.1007/978-3-319-77604-0 Library of Congress Control Number: 2018934876 © Springer International Publishing AG, part of Springer Nature 2019 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
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