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. Ed(S): Gama, Joao; Gaber, Mohamed Medhat - Learning from Data Streams - 9783540736783 - V9783540736783
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Learning from Data Streams

€ 122.43
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Description for Learning from Data Streams Hardback. Provides the reader with an overview of stream data processing, including prototype implementations like the Nile system and the TinyOS operating system. Editor(s): Gama, Joao; Gaber, Mohamed Medhat. Num Pages: 254 pages, 73 black & white illustrations, 4 black & white tables, biography. BIC Classification: UNC; UYQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 15. Weight in Grams: 537.

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 ... Read more

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.

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Product Details

Format
Hardback
Publication date
2007
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
254
Condition
New
Number of Pages
244
Place of Publication
Berlin, Germany
ISBN
9783540736783
SKU
V9783540736783
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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