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Devising a computational model based on data mining techniques to predict concrete compressive strength

Alencar, Daniel ; Carvalho, Darlinton ; Koenders, Eduardus A. B. ; Mourão, Fernando ; Rocha, Leonardo (2017):
Devising a computational model based on data mining techniques to predict concrete compressive strength.
In: Procedia Computer Science, 108, pp. 455-464. Elsevier, ISSN 1877-0509,
DOI: 10.1016/j.procs.2017.05.018,
[Article]

Item Type: Article
Erschienen: 2017
Creators: Alencar, Daniel ; Carvalho, Darlinton ; Koenders, Eduardus A. B. ; Mourão, Fernando ; Rocha, Leonardo
Title: Devising a computational model based on data mining techniques to predict concrete compressive strength
Language: English
Journal or Publication Title: Procedia Computer Science
Book Title: Procedia Computer Science 108C (2017)
Volume of the journal: 108
Publisher: Elsevier
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute of Construction and Building Materials
13 Department of Civil and Environmental Engineering Sciences > Institute of Construction and Building Materials > Beton- und Materialentwicklung
13 Department of Civil and Environmental Engineering Sciences > Institute of Construction and Building Materials > Bruchmechanik und Werkstoffmodellierung
Date Deposited: 19 Jun 2017 11:52
DOI: 10.1016/j.procs.2017.05.018
Additional Information:

17th International Conference on Computational Science (ICCS 2017), Zurich, Switzerland, 12.-14.06.2017

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