你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (Springerbriefs in Computer Science)
Type
Physical Book
Publisher
Author
Year
2013
Language
English
Pages
120
Format
Paperback
ISBN13
9781447154532
Edition No.
2014
Categories

Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (Springerbriefs in Computer Science)

Annalisa Appice; Anna Ciampi; Fabio Fumarola (Author) · Springer · Paperback

Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (Springerbriefs in Computer Science) - Annalisa Appice; Anna Ciampi; Fabio Fumarola

Cheaper New Book Imported to Taiwan
Delivery: 14 Oct - 27 Oct Shipping: 12 to 16 business days.
NT$ 1,860
Faster New Book Imported to Taiwan
Delivery: 05 Oct - 13 Oct Shipping: 5 to 6 business days.
NT$ 2,372
NT$ 1,860

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance (Springerbriefs in Computer Science) "

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.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews