Amazon cover image
Image from Amazon.com

Knowledge discovery from sensor data / edited by Auroop R. Ganguly ... [et al.].

Contributor(s): Material type: TextTextSeries: Industrial innovation seriesPublication details: Boca Raton : CRC Press, c2009.Description: xix, 216 p. : ill. ; 24 cmISBN:
  • 9780367899639 (Set)
  • 9780367847043 (hardcover)
Subject(s): DDC classification:
  • 005.74 GAN-K
LOC classification:
  • QA76.9.D343 K564 2009
Online resources:
Contents:
Probabilistic framework for mining distributed sensory data under data sharing constraints / Joydeep Ghosh -- General framework for mining massive data streams / Pedro Domingos and Geoff Hulten -- Sensor network data model for the discovery of spatio-temporal patterns / Betsy George, James M. Kang, and Shashi Shekhar -- Requirements for clustering streaming sensors / Pedro Pereira Rodrigues, Joāo Gama, and Luís Lopes -- Principal component aggregation for energy-efficient information extraction in wireless sensor networks / Yann-Aël Le Borgne, Jean-Michel Dricot, and Gianluca Bontempi -- Anomaly detection in transportation corridors using manifold embedding / Amrudin Agovic ... [et al.] -- Fusion of vision inertial data for automatic georeferencing / Duminda I. B. Randeniya, Manjriker Gunaratne, and Sudeep Sarkar -- Electricity load forecast using data streams techniques / Joāo Gama and Pedro Pereira Rodriques -- Missing event prediction in sensor data streams using Kalman filters / Nithya N. Vijayakumar and Beth Plale -- Mining temporal relations in smart environment data using TempAl / Vikramaditya R. Jakkula and Diane J. Cook.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Reference RGU Central Library Reference Reference 005.74 GAN-K (Browse shelf(Opens below)) Not For Loan 78248
Total holds: 0

Includes bibliographical references and index.

Probabilistic framework for mining distributed sensory data under data sharing constraints / Joydeep Ghosh -- General framework for mining massive data streams / Pedro Domingos and Geoff Hulten -- Sensor network data model for the discovery of spatio-temporal patterns / Betsy George, James M. Kang, and Shashi Shekhar -- Requirements for clustering streaming sensors / Pedro Pereira Rodrigues, Joāo Gama, and Luís Lopes -- Principal component aggregation for energy-efficient information extraction in wireless sensor networks / Yann-Aël Le Borgne, Jean-Michel Dricot, and Gianluca Bontempi -- Anomaly detection in transportation corridors using manifold embedding / Amrudin Agovic ... [et al.] -- Fusion of vision inertial data for automatic georeferencing / Duminda I. B. Randeniya, Manjriker Gunaratne, and Sudeep Sarkar -- Electricity load forecast using data streams techniques / Joāo Gama and Pedro Pereira Rodriques -- Missing event prediction in sensor data streams using Kalman filters / Nithya N. Vijayakumar and Beth Plale -- Mining temporal relations in smart environment data using TempAl / Vikramaditya R. Jakkula and Diane J. Cook.

There are no comments on this title.

to post a comment.