Learning from Data Streams: Processing Techniques in Sensor Networks by Jo GamaLearning from Data Streams: Processing Techniques in Sensor Networks by Jo Gama

Learning from Data Streams: Processing Techniques in Sensor Networks

byJo GamaEditorMohamed Medhat Gaber

Paperback | October 19, 2010

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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.
Title:Learning from Data Streams: Processing Techniques in Sensor NetworksFormat:PaperbackDimensions:244 pages, 23.5 × 15.5 × 0.07 inPublished:October 19, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642092853

ISBN - 13:9783642092855

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Table of Contents

1 Introduction (Gama, Gaber).- Part I: Overview: 2 Sensor Networks (Barros) - 3 Data Stream Processing (Gama, Rodrigues) - 4 Data Stream Processing in Sensor Networks (Gaber).- Part II: Data Stream Management Techniques in Sensor Networks: 5 Data Stream Management Systems and Architectures (Hammad, Ghanem, Aref, Elmagarmid, Mokbel) - 6 Querying of Sensor Data (Trigoni, Guitton, Skordylis) - 7 Aggregation and Summarization in Sensor Networks (Shrivastava, Buragohain) - 8 Sensory Data Monitoring (Cardell-Oliver).- Part III: Mining Sensor Network Data Streams: 9 Clustering Techniques in Sensor Networks (Rodrigues, Gama) - 10 Predictive Learning in Sensor Networks (Gama, Pedersen) - 11 Tensor Analysis on Multi-aspect Streams (Sun, Papdimitriou, Yu).- Part IV: Applications: 12 Knowledge Discovery from Sensor Data for Security Applications (Ganguly, Omitaomu, Walker) - 13 Knowledge Discovery from Sensor Data for Scientific Applications (Ganguly, Fang, Khan, Omitaomu) - 14 TinyOS Education with LEGO MINDSTORMS NXT (Pedersen).