✍️ 🧑‍🦱 💚 Autor:innen verdienen bei uns doppelt. Dank euch haben sie so schon 362.450 € mehr verdient. → Mehr erfahren 💪 📚 🙏

Data Mining Techniques in Sensor Networks

Data Mining Techniques in Sensor Networks

von Anna Ciampi, Annalisa Appice, Donato Malerba und Fabio Fumarola
Softcover - 9781447154532
53,49 €
  • Versandkostenfrei
Auf meine Merkliste
  • Hinweis: Print on Demand. Lieferbar in 2 Tagen.
  • Lieferzeit nach Versand: ca. 1-2 Tage
  • inkl. MwSt. & Versandkosten (innerhalb Deutschlands)

Autorenfreundlich Bücher kaufen?!

Beschreibung

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 work introduces a recently defined spatio-temporal pattern, called trend cluster, to summarize, interpolate and identify anomalies in a sensor network. As an example, the application of trend cluster discovery to monitor the efficiency of photovoltaic power plants is discussed. The work closes with remarks on new possibilities for surveillance enabled by recent developments in sensing technology.

Summarization, Interpolation and Surveillance

Details

Verlag Springer London
Ersterscheinung 27. September 2013
Maße 23.5 cm x 15.5 cm
Gewicht 195 Gramm
Format Softcover
ISBN-13 9781447154532
Seiten 105

Herstellerinformationen +