Knowledge Discovery from Sensor Data Industrial Innovation 1st Edition by Auroop Ganguly, Joao Gama, Olufemi Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai – Ebook PDF Instant Download/Delivery: 9781420082333, 1420082329 Full download Knowledge Discovery from Sensor Data Industrial Innovation 1st Edition after payment

Product details:
ISBN 10: 1420082329
ISBN 13: 9781420082333
Author: Auroop Ganguly, Joao Gama, Olufemi Omitaomu, Mohamed Medhat Gaber, Ranga Raju Vatsavai
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 Table of contents:
1: A Probabilistic Framework for Mining Distributed Sensory Data Under Data Sharing Constraints
2: A General Framework for Mining Massive Data Streams
3: A Sensor Network Data Model for the Discovery of Spatio-Temporal Patterns*
4: Requirements for Clustering Streaming Sensors
5: Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless Sensor Networks
6: Anomaly Detection in Transportation Corridors Using Manifold Embedding
7: Fusion of Vision Inertial Data for Automatic Georeferencing
8: Electricity Load Forecast Using Data Streams Techniques
9: Missing Event Prediction in Sensor Data Streams Using Kalman Filters
10: Mining Temporal Relations in Smart Environment Data Using TempAI
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Knowledge Discovery,Sensor Data,Auroop Ganguly,Joao Gama,Olufemi Omitaomu,Mohamed Medhat Gaber,Ranga Raju Vatsavai


