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Performance monitoring of an industrial boiler: classification of relevant variables with Random Forests
SAINLEZ, Matthieu; Heyen, Georges
2010 • In Pierucci, S.; Ferraris, G. Buzzi (Eds.) 20th European Symposium on Computer Aided Process Engineering
Peer reviewed
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https://hdl.handle.net/10993/16298
DOI
10.1016/S1570-7946(10)28068-9
 

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Keywords :
data mining
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
SAINLEZ, Matthieu ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Heyen, Georges
Language :
English
Title :
Performance monitoring of an industrial boiler: classification of relevant variables with Random Forests
Publication date :
2010
Main work title :
20th European Symposium on Computer Aided Process Engineering
Editor :
Pierucci, S.
Ferraris, G. Buzzi
Publisher :
Elsevier
Collection name :
Computer Aided Chemical Engineering
Pages :
403 - 408
Peer reviewed :
Peer reviewed
Additional URL :
http://www.sciencedirect.com/science/article/pii/S1570794610280689
Commentary :
28 1570-7946
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since 03 April 2014

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