Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2013
Genre:	EDV / Informatik
	C / Computer Communication Networks / Computer communication systems / computer science / Data Mining / Data Mining and Knowledge Discovery / Expert systems / knowledge-based systems / Network hardware / Netzwerk-Hardware / Trend Discovery / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9781447154532
EAN-Code:	9781447154532
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	SpringerBriefs in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1942 gr
Seiten:	105
Illustration:	XIII, 105 p. 39 illus., 37 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.