Knowledge discovery from sensor data / edited by Auroop R. Ganguly. [et al.]. - 1 online resource (xix, 216 pages) - Industrial innovation series . - Industrial innovation series. .

Probabilistic framework for mining distributed sensory data under data sharing constraints / General framework for mining massive data streams / 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 / Joydeep Ghosh -- Pedro Domingos and Geoff Hulten -- Betsy George, James M. Kang, and Shashi Shekhar -- Pedro Pereira Rodrigues, Joao Gama, and Luis Lopes -- Yann-Ael Le Borgne, Jean-Michel Dricot, and Gianluca Bontempi -- Amrudin Agovic. [et al.] -- Duminda I. B. Randeniya, Manjriker Gunaratne, and Sudeep Sarkar -- Joao Gama and Pedro Pereira Rodriques -- Nithya N. Vijayakumar and Beth Plale -- Vikramaditya R. Jakkula and Diane J. Cook.

9780429143076

10.1201/9781420082333 doi


Data mining.
Sensor networks.
Multisensor data fusion.

QA76.9.D343 / K564 2009

005.74 / K733