Knowledge Discovery from Sensor Data
Author:   Auroop R. Ganguly ,  Joao Gama ,  Olufemi A. Omitaomu ,  Mohamed Gaber
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367386238


Pages:   215
Publication Date:   19 September 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Knowledge Discovery from Sensor Data


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Overview

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.

Full Product Details

Author:   Auroop R. Ganguly ,  Joao Gama ,  Olufemi A. Omitaomu ,  Mohamed Gaber
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.440kg
ISBN:  

9780367386238


ISBN 10:   0367386232
Pages:   215
Publication Date:   19 September 2019
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

A Probabilistic Framework for Mining Distributed Sensory Data Under Data Sharing Constraints. A General Framework for Mining Massive Data Streams. A Sensor Network Data Model for the Discovery of Spatio-Temporal Patterns. Requirements for Clustering Streaming Sensors. Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless Sensor Networks. Anomaly Detection in Transportation Corridors Using Manifold Embedding. Fusion of Vision Inertial Data for Automatic Georeferencing. Electricity Load Forecast Using Data Streams Techniques. Missing Event Prediction in Sensor Data Streams Using Kalman Filters. Mining Temporal Relations in Smart Environment Data Using TempAl. Index.

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Auroop R. Ganguly, João Gama, Olufemi A. Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai

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