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Knowledge discovery with clustering based on rules by states: a water treatment application

Autor
Gibert, Karina; Rodríguez, G.; Rodriguez-Roda, I.
Tipus d'activitat
Article en revista
Revista
Environmental modelling & software
Data de publicació
2010-06
Volum
25
Número
6
Pàgina inicial
712
Pàgina final
723
DOI
https://doi.org/10.1016/j.envsoft.2009.11.004 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/8293 Obrir en finestra nova
URL
http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6VHC-4Y0546T-1-H&_cdi=6063&_user=1517299&_pii=S136481520900293X&_orig=search&_coverDate=06%2F30%2F2010&_sk=999749993&view=c&wchp=dGLbVtb-zSkzk&md5=a9f79745f01e6ea03e7ee056201c83fb&ie=/sdarticle.pdf Obrir en finestra nova
Resum
This work presents advances in the design of a hybrid methodology that combines artificial intelligence and statistical tools to induce a model of explicit knowledge in relation to the dynamics of a wastewater treatment plant. The methodology contributes to problem solving under the paradigm of knowledge discovery from data in which the pre-process, the automatic interpretation of results and the explicit production of knowledge play a role as important as the analysis itself. The data mining st...
Citació
Gibert, C.; Rodríguez, G.; Rodríguez-Roda, I. Knowledge discovery with clustering based on rules by states: a water treatment application. "Environmental modelling and software", Juny 2010, vol. 25, núm. 6, p. 712-723.
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

  • Gibert, Karina  (autor)
  • Rodríguez Silva, Gustavo  (autor)
  • Rodriguez Roda, Ignasi  (autor)