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Learning from Data Streams: Processing Techniques in Sensor Networks (Hardback)

by João Gama

Springer

Hardback or Cased Book 244 pages Oct 11, 2007

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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. This 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-the-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.
Author:
João Gama
Publisher:
Springer
Publication Date:
Oct 11, 2007
Number of pages:
244 pages
Binding:
Hardback or Cased Book
ISBN-10:
3540736786
ISBN-13:
9783540736783