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Studies in Big Data

Learning from Data Streams in Evolving Environments

Methods and Applications

Editors: Sayed-Mouchaweh, Moamar (Ed.)

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  • Provides multiple examples to facilitate the understanding data streams in non-stationary environments
  • Presents several application cases to show how the methods solve different real world problems
  • Discusses the links between methods to help stimulate new research and application directions
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eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-89803-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-89802-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-030-07862-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field.

  • Provides multiple examples to facilitate the understanding data streams in non-stationary environments;
  • Presents several application cases to show how the methods solve different real world problems;
  • Discusses the links between methods to help stimulate new research and application directions.

About the authors

Moamar Sayed-Mouchaweh received his PhD from the University of Reims-France. He was working as Associated Professor in Computer Science, Control and Signal processing at the University of Reims-France in the Research centre in Sciences and Technology of the Information and the Communication. In December 2008, he obtained the Habilitation to Direct Research (HDR) in Computer science, Control and Signal processing. Since September 2011, he is working as a Full Professor in the High National Engineering School of Mines Telecom Lille Douai (France), Department of Computer Science and Automatic Control. He edited and wrote several Springer books and served as a guest editor of several special issues of international journals. He also served as IPC Chair and conference Chair of several international workshops and conferences. He is serving as a member of the Editorial Board of several international Journals.

Table of contents (13 chapters)

Table of contents (13 chapters)

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-89803-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-89802-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-030-07862-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Learning from Data Streams in Evolving Environments
Book Subtitle
Methods and Applications
Editors
  • Moamar Sayed-Mouchaweh
Series Title
Studies in Big Data
Series Volume
41
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-89803-2
DOI
10.1007/978-3-319-89803-2
Hardcover ISBN
978-3-319-89802-5
Softcover ISBN
978-3-030-07862-1
Series ISSN
2197-6503
Edition Number
1
Number of Pages
VIII, 317
Number of Illustrations
36 b/w illustrations, 95 illustrations in colour
Topics