Learning from Data Streams

Processing Techniques in Sensor Networks

By: JoÃ£o Gama (Editor), Mohamed Medhat Gaber (Editor)

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Hardcover | 11 October 2007

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256 Pages

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24.13 x 16.51 x 1.27

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Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few years due to the huge numbers of data streams to be managed continuously and at a very high rate.

The book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. The set of chapters covers the state-of-art in data stream mining approaches using clustering, predictive learning, and tensor analysis techniques, and applying them to applications in security, the natural sciences, and education.

This research monograph delivers to researchers and graduate students the state of the art in data stream processing in sensor networks. The huge bibliography offers an excellent starting point for further reading and future research.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Mathematics Algebra Computer Networking & Communications Reference, Information & Interdisciplinary Subjects Research & Information Information theory Computer Science Artificial Intelligence

Data Capture & Analysis Information Retrieval Computer Hardware Network Hardware

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Paperback

Published: 19th October 2010

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Introduction	p. 1
Overview
Sensor Networks: An Overview	p. 9
Data Stream Processing	p. 25
Data Stream Processing in Sensor Networks	p. 41
Data Stream Management Techniques in Sensor Networks
Data Stream Management Systems and Architectures	p. 51
Querying of Sensor Data	p. 73
Aggregation and Summarization in Sensor Networks	p. 87
Sensory Data Monitoring	p. 107
Mining Sensor Network Data Streams
Clustering Techniques in Sensor Networks	p. 125
Predictive Learning in Sensor Networks	p. 143
Tensor Analysis on Multi-aspect Streams	p. 165
Applications
Knowledge Discovery from Sensor Data for Security Applications	p. 187
Knowledge Discovery from Sensor Data For Scientific Applications	p. 205
TinyOS Education with LEGO MINDSTORMS NXT	p. 231
Index	p. 243
Table of Contents provided by Blackwell. All Rights Reserved.

Learning from Data Streams

Processing Techniques in Sensor Networks

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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