Learning from Data Streams

Processing Techniques in Sensor Networks

Editors: Gama, João, Gaber, Mohamed Medhat (Eds.)

  • Shows how to apply machine learning techniques to stream data processing
  • Details data stream mining approaches using clustering, predictive learning, and tensor analysis techniques
  • Presents applications in security, the natural sciences, and education
  • Includes descriptions of famous prototype implementations like the Nile system and the TinyOS operating system
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About this book

Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few years due to the huge numbers of data streams to be managed continuously and at a very high rate.

The book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. The set of chapters covers the state-of-art in data stream mining approaches using clustering, predictive learning, and tensor analysis techniques, and applying them to applications in security, the natural sciences, and education.

This research monograph delivers to researchers and graduate students the state of the art in data stream processing in sensor networks. The huge bibliography offers an excellent starting point for further reading and future research.

Table of contents (2 chapters)

Buy this book

eBook $109.00
price for USA
  • ISBN 978-3-540-73679-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $139.00
price for USA
  • ISBN 978-3-540-73678-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-3-642-09285-5
  • 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
Book Subtitle
Processing Techniques in Sensor Networks
Editors
  • João Gama
  • Mohamed Medhat Gaber
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-73679-0
DOI
10.1007/3-540-73679-4
Hardcover ISBN
978-3-540-73678-3
Softcover ISBN
978-3-642-09285-5
Edition Number
1
Number of Pages
X, 244
Number of Illustrations and Tables
73 b/w illustrations
Topics