Learning from Data Streams: Processing Techniques in Sensor Networks
From Brand: Springer
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Learning from Data Streams: From Brand: Springer epub Learning from Data Streams: From Brand: Springer pdf download Learning from Data Streams: From Brand: Springer pdf file Learning from Data Streams: From Brand: Springer audiobook Learning from Data Streams: From Brand: Springer book review Learning from Data Streams: From Brand: Springer summary | #7233716 in Books | Springer | 2007-12-06 | Original language:English | PDF # 1 | 9.21 x.63 x6.14l,1.06 | File type: PDF | 244 pages | ||From the Back Cover||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. Processi
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.
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