Learning from Data Streams
Processing Techniques in Sensor Networks
Editors: Gama, João, Gaber, Mohamed Medhat (Eds.)
Free Preview- 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
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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 (14 chapters)
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Introduction
Pages 1-5
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Sensor Networks: An Overview
Pages 9-24
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Data Stream Processing
Pages 25-39
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Data Stream Processing in Sensor Networks
Pages 41-48
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Data Stream Management Systems and Architectures
Pages 51-71
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Table of contents (14 chapters)
- Download Sample pages 3 PDF (462.8 KB)
- Download Table of contents PDF (66.9 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Learning from Data Streams
- Book Subtitle
- Processing Techniques in Sensor Networks
- Editors
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- 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
- 73 b/w illustrations
- Topics
