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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surv

Description: Data Mining Techniques in Sensor Networks by Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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. Details ISBN 1447154533 ISBN-13 9781447154532 Title Data Mining Techniques in Sensor Networks Author Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba Format Paperback Year 2013 Pages 105 Edition 2014th Publisher Springer London Ltd GE_Item_ID:140278695; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 68.41 USD

Location: Fairfield, Ohio

End Time: 2024-09-22T02:33:05.000Z

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Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surv

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781447154532

Book Title: Data Mining Techniques in Sensor Networks

Number of Pages: Xiii, 105 Pages

Language: English

Publication Name: Data Mining Techniques in Sensor Networks : Summarization, Interpolation and Surveillance

Publisher: Springer London, The Limited

Subject: Probability & Statistics / General, Computer Science, Networking / General, Databases / Data Mining

Publication Year: 2013

Item Weight: 68.5 Oz

Type: Textbook

Subject Area: Mathematics, Computers

Item Length: 9.3 in

Author: Anna Ciampi, Annalisa Appice, Donato Malerba, Fabio Fumarola

Item Width: 6.1 in

Series: Springerbriefs in Computer Science Ser.

Format: Trade Paperback

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