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Data Mining Techniques Sensor by Appice Annalisa (11 results)
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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (SpringerBriefs in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.52
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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£ 34.37
Convert currency£ 37.84 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: Sehr gut. Zustand: Sehr gut - Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 | Seiten: 120 | Sprache: Englisch | Produktart: Bücher.
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£ 49.36
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance
Published by Springer-Verlag New York Inc, 2013
ISBN 10: 1447154533 ISBN 13: 9781447154532
Language: English
£ 64.40
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Add to basketPaperback. Condition: Brand New. 2014 edition. 123 pages. 9.00x6.00x0.25 inches. In Stock.
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£ 83
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Add to basketPaperback. Condition: Like New. Like New. book.
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Data Mining Techniques in Sensor Networks
Published by Springer London Sep 2013, 2013
ISBN 10: 1447154533 ISBN 13: 9781447154532
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 46.33
Convert currency£ 19.34 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch.
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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 56.09
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 212.
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£ 69.89
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Add to basketCondition: New. Print on Demand pp. 120 39 Illus. (37 Col.).
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Condition: New. PRINT ON DEMAND pp. 120.
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£ 41.90
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the trend cluster, a recently defined spatio-temporal pattern, and its use in summarizing, interpolating and identifying anomalies in sensor networksIllustrates the application of trend cluster discovery to monitor the efficiency of pho.
