[Mobile pdf] Learning from Data Streams: Processing Techniques in Sensor Networks
▲ From Brand: Springer ▲
| #7461170 in Books | Springer | 2007-12-06 | Original language:English | PDF # 1 | 9.21 x.63 x6.14l,1.06 | File Name: 3540736786 | 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. Process
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.
[PDF.gr28] Learning from Data Streams: Processing Techniques in Sensor Networks Rating: 3.75 (442 Votes)
Learning from Data Streams: From Brand: Springer pdf Learning from Data Streams: From Brand: Springer pdf download Learning from Data Streams: From Brand: Springer review Learning from Data Streams: From Brand: Springer summary Learning from Data Streams: From Brand: Springer textbooks Learning from Data Streams: From Brand: Springer Free
You easily download any file type for your device.Learning from Data Streams: Processing Techniques in Sensor Networks | From Brand: Springer. Just read it with an open mind because none of us really know.
