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Data Mining Techniques in Sensor Networks
Appice, Annalisa; Ciampi, Anna; Fumarola, Fabio; Malerba, Donato
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Description for Data Mining Techniques in Sensor Networks
Paperback. Series: SpringerBriefs in Computer Science. Num Pages: 118 pages, 2 black & white illustrations, 37 colour illustrations, 5 black & white tables, biography. BIC Classification: UKN; UNF. Category: (P) Professional & Vocational. Dimension: 199 x 235 x 11. Weight in Grams: 190.
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 disk. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data. This ... Read more
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 disk. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data. This ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer London Ltd United Kingdom
Number of pages
118
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
105
Place of Publication
England, United Kingdom
ISBN
9781447154532
SKU
V9781447154532
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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