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Learning from Data Streams: Processing Techniques in Sensor Networks - Couverture souple

Gama, Joao

 
9783642092855: Learning from Data Streams: Processing Techniques in Sensor Networks
Couverture souple
ISBN 10 : 3642092853 ISBN 13 : 9783642092855
Editeur : Springer, 2010

Synopsis

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 prototype implementations 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 reading and future research.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2010
Langue
anglais
ISBN 10 
3642092853
ISBN 13 
9783642092855
Reliure
Broché
Numéro d'édition
1
Nombre de pages
254
Éditeur
Gaber Mohamed Medhat
Coordonnées du fabricant
ProductSafety@springernature.com
ProductSafety@springernature.com

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