상세정보

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.

Addressing the issues challenging the sensor community, this book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. Illustrated with case studies, it discusses the challenges and requirements for sensor data-based knowledge discovery solutions in high-priority application. The book then explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security. Bringing together researchers from academia, government, and the private sector, this book delineates the application of knowledge modeling in data intensive operations.

정보제공 :

A Probabilistic Framework for Mining Distributed Sensory Data Under Data Sharing Constraints, J. Ghosh
A General Framework for Mining Massive Data Streams, P. Domingos and G. Hulten
A Sensor Network Data Model for the Discovery of Spatio-Temporal Patterns, B. George, J.M. Kang, and S. Shekhar
Requirements for Clustering Streaming Sensors, P.P. Rodrigues, J. Gama, and L. Lopes
Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless Sensor Networks, Y.-A. Le Borgne, J.-M Dricot, and G. Bontempi
Anomaly Detection in Transportation Corridors Using Manifold Embedding, A. Agovic, A. Banerjee, A.R. Ganguly, and V. Protopopescu
Fusion of Vision Inertial Data for Automatic Georeferencing, D.I.B. Randeniya, M. Gunaratne, and S. Sarkar
Electricity Load Forecast Using Data Streams Techniques, J. Gama and P.P. Rodrigues
Missing Event Prediction in Sensor Data Streams Using Kalman Filters, N.N. Vijayakumar and B. Plale
Mining Temporal Relations in Smart Environment Data Using TempAl, V.R. Jakkula and D.J. Cook
Index

정보제공 :