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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance - SpringerBriefs in Computer Science Annalisa Appice 2014 edition
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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance - SpringerBriefs in Computer Science
Annalisa Appice
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. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data.
118 pages, 2 black & white illustrations, 37 colour illustrations, 5 black & white tables, biography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2013. gada 27. septembris |
| ISBN13 | 9781447154532 |
| Izdevēji | Springer London Ltd |
| Lapas | 105 |
| Izmēri | 235 × 199 × 11 mm · 181 g |
| Valoda | Angļu |
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