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

Couverture souple

ISBN 10 : 3642092853 ISBN 13 : 9783642092855

Editeur : Springer, 2010

Synopsis

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.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 3642092853
• ISBN 13: 9783642092855
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 256
• Éditeur: Gama João, Gaber Mohamed Medhat
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne