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» Using Data Mining to Estimate Missing Sensor Data
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KDD
2009
ACM
168views Data Mining» more  KDD 2009»
15 years 10 months ago
Sustainable operation and management of data center chillers using temporal data mining
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
BMCBI
2007
62views more  BMCBI 2007»
14 years 9 months ago
Missing channels in two-colour microarray experiments: Combining single-channel and two-channel data
Background: There are mechanisms, notably ozone degradation, that can damage a single channel of two-channel microarray experiments. Resulting analyses therefore often choose betw...
Andy G. Lynch, David E. Neal, John D. Kelly, Glyn ...
ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
15 years 4 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
CIDM
2007
IEEE
15 years 3 months ago
Data Mining of MISR Aerosol Product using Spatial Statistics
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
Tao Shi, Noel Cressie
AMDO
2008
Springer
14 years 11 months ago
Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation
This paper addresses the problem of real-time location of the joints or centres of rotation (CoR) of human skeletons in the presence of missing data. The data is assumed to be 3d m...
Andreas Aristidou, Jonathan Cameron, Joan Lasenby