Learning from Data Streams: Processing Techniques in Sensor Networks
Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototypeimplementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further readingand future research.
*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.
Formats for this Ebook
|Required Software||Any PDF Reader, Apple Preview|
|Supported Devices||Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch.|
|# of Devices||Unlimited|
|Flowing Text / Pages||Pages|
- PDF | 256 pages
- Joao Gama(Editor) Mohamed Medhat Gaber(Series Editor)
- Springer Berlin Heidelberg; Softcover reprint of hardcover 1st ed. 2007 edition (9 Dec. 2009)
- Computing & Internet
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Data Mining With Decision Trees: Theory And Applications (Series In Machine Perception & Artifical Intelligence) (Series In Machine Perception And Artificial Intelligence)