Learning from Data Streams: Processing Techniques in Sensor Networks

ISBN 10: 3642092853 ISBN 13: 9783642092855

Edit� par Springer, 2010

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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.

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Titre : Learning from Data Streams: Processing ...
�diteur : Springer
Date d'�dition : 2010
Reliure : Couverture souple
Etat : New

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Learning from Data Streams

Gama, Jo�o|Gaber, Mohamed Medhat

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ISBN 10 : 3642092853 ISBN 13 : 9783642092855

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shows how to apply machine learning techniques to stream data processingDetails data stream mining approaches using clustering, predictive learning, and tensor analysis techniquesPresents applications in security, the natural sciences, and . N� de r�f. du vendeur 5048302

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Learning from Data Streams | Processing Techniques in Sensor Networks

Mohamed Medhat Gaber (u. a.)

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ISBN 10 : 3642092853 ISBN 13 : 9783642092855

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Learning from Data Streams: Processing Techniques in Sensor Networks

Edit� par Springer, 2010

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Learning from Data Streams : Processing Techniques in Sensor Networks

Gama, Joao; Gaber, Mohamed Medhat (EDT)

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Learning from Data Streams : Processing Techniques in Sensor Networks

Mohamed Medhat Gaber

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2010

ISBN 10 : 3642092853 ISBN 13 : 9783642092855

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783642092855

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Learning from Data Streams

Mohamed Medhat Gaber

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010, 2010

ISBN 10 : 3642092853 ISBN 13 : 9783642092855

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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch. N� de r�f. du vendeur 9783642092855

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Learning from Data Streams

Mohamed Medhat Gaber

Edit� par Springer Berlin Heidelberg Okt 2010, 2010

ISBN 10 : 3642092853 ISBN 13 : 9783642092855

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 256 pp. Englisch. N� de r�f. du vendeur 9783642092855

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