Performance monitoring of an industrial boiler: classification of relevant variables with Random Forests

Reference : Performance monitoring of an industrial boiler: classification of relevant variables ...


	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/16298

Title :	Performance monitoring of an industrial boiler: classification of relevant variables with Random Forests
Language :	English
Author, co-author :	Sainlez, Matthieu [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Heyen, Georges [> >]
Publication date :	2010
Main document title :	20th European Symposium on Computer Aided Process Engineering
Editor :	Pierucci, S.
	Ferraris, G. Buzzi
Publisher :	Elsevier
Collection and collection volume :	Computer Aided Chemical Engineering
Pages :	403 - 408
Peer reviewed :	Yes
Keywords :	[en] data mining
Permalink :	http://hdl.handle.net/10993/16298
DOI :	10.1016/S1570-7946(10)28068-9
Other URL :	http://www.sciencedirect.com/science/article/pii/S1570794610280689
Commentary :	28 1570-7946

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