Knowledge Discovery from Sensor Data Industrial Innovation 1st Edition by Auroop R Ganguly ISBN 0367386232 9780367386238

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ISBN 10: 0367386232
ISBN 13: 9780367386238                                                                   
Author: Auroop R Ganguly

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

Knowledge Discovery from Sensor Data Industrial Innovation 1st Edition Table of contents: 

Chapter 1. A Probabilistic Framework for Mining Distributed Sensory Data Under Data Sharing Constrai

Chapter 2. A General Framework for Mining Massive Data Streams

Chapter 3. A Sensor Network Data Model for the Discovery of Spatio-Temporal Patterns∗

Chapter 4. Requirements for Clustering Streaming Sensors

Chapter 5. Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless S

Chapter 6. Anomaly Detection in Transportation Corridors Using Manifold Embedding

Chapter 7. Fusion of Vision Inertial Data for Automatic Georeferencing

Chapter 8. Electricity Load Forecast Using Data Streams Techniques

Chapter 9. Missing Event Prediction in Sensor Data Streams Using Kalman Filters

Chapter 10. Mining Temporal Relations in Smart Environment Data Using TempAl

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