Learning from Data Streams: Processing Techniques in Sensor Networks - Rilegato

Rilegato

ISBN 10: 3540736786 ISBN 13: 9783540736783

Casa editrice: Springer-Nature New York Inc, 2007

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Contenuti

Overview.- Sensor Networks: An Overview.- Data Stream Processing.- Data Stream Processing in Sensor Networks.- Data Stream Management Techniques in Sensor Networks.- Data Stream Management Systems and Architectures.- Querying of Sensor Data.- Aggregation and Summarization in Sensor Networks.- Sensory Data Monitoring.- Mining Sensor Network Data Streams.- Clustering Techniques in Sensor Networks.- Predictive Learning in Sensor Networks.- Tensor Analysis on Multi-aspect Streams.- Applications.- Knowledge Discovery from Sensor Data for Security Applications.- Knowledge Discovery from Sensor Data For Scientific Applications.- TinyOS Education with LEGO MINDSTORMS NXT.

Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2007
• ISBN 10: 3540736786
• ISBN 13: 9783540736783
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 244
• Redattore: Gama Joao, Gaber Mohamed Medhat