[PDF.55nd] Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (SpringerBriefs in Computer Science)

Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (SpringerBriefs in Computer Science)

[PDF.rh02] Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (SpringerBriefs in Computer Science)

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 | #7377521 in Books |  Appice Annalisa |  2013-09-13 |  2013-09-19 | Original language:English | PDF # 1 |  9.25 x.29 x6.10l,.40 | File type: PDF | 105 pages

 | Data Mining Techniques in Sensor Networks Summarization Interpolation and Surveillance SpringerBriefs in Computer Science

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||From the Back Cover||Emerging real life applications, such as environmental compliance, ecological studies and meteorology, are characterized by real-time data acquisition through a number of (wireless) remote sensors. Operatively, remote sensors are installed a

Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. The server monitors the data, issues possible alarms and computes fast aggregates. As data analysis requests may concern both present and past data, the server is forced to store the entire stream. But the limited storage capacity of a server may reduce the amount of data stored on the di...

You can specify the type of files you want, for your device.Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (SpringerBriefs in Computer Science)   |  Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba. A good, fresh read, highly recommended.

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