Knowledge Discovery from Sensor Data

Name: Knowledge Discovery from Sensor Data
Brand: Taylor & Francis Inc
Price: 200.95 AUD
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By: Auroop R. Ganguly (Editor), Joao Gama (Editor), Olufemi A. Omitaomu (Editor), Mohamed Gaber (Editor), Ranga Raju Vatsavai (Editor)

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Hardcover | 10 December 2008 | Edition Number 1

At a Glance

Hardcover
215 Pages

Dimensions(cm)
23.4 x 15.6 x 1.27

Hardcover

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As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Engineering & Technology Mechanical Engineering & Materials Production & Industrial Engineering Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems

Foreword	p. ix
Preface	p. xi
Contributors	p. xiii
Introduction	p. xv
A Probabilistic Framework for Mining Distributed Sensory Data Under Data Sharing Constraints	p. 1
A General Framework for Mining Massive Data Streams	p. 9
A Sensor Network Data Model for the Discovery of Spatio-Temporal Patterns	p. 15
Requirements for Clustering Streaming Sensors	p. 35
Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless Sensor Networks	p. 55
Anomaly Detection in Transportation Corridors Using Manifold Embedding	p. 81
Fusion of Vision Inertial Data for Automatic Georeferencing	p. 107
Electricity Load Forecast Using Data Streams Techniques	p. 131
Missing Event Prediction in Sensor Data Streams Using Kalman Filters	p. 149
Mining Temporal Relations in Smart Environment Data Using TempAl	p. 171
Index	p. 205
Table of Contents provided by Ingram. All Rights Reserved.

Knowledge Discovery from Sensor Data

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Hardcover

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